1 00:00:00,200 --> 00:00:03,600 Speaker 1: These are the yeays of our lives. Busy and happy 2 00:00:03,760 --> 00:00:06,680 Speaker 1: are not the same thing. We too rarely question what 3 00:00:06,800 --> 00:00:09,480 Speaker 1: makes the heart seeing. We work, then we rest, but 4 00:00:09,720 --> 00:00:12,800 Speaker 1: rarely we play and often don't realize there's more than 5 00:00:12,840 --> 00:00:15,600 Speaker 1: one way. So this is a platform to hear and 6 00:00:15,720 --> 00:00:18,439 Speaker 1: explore the stories of those who found lives. 7 00:00:18,440 --> 00:00:20,600 Speaker 2: They adore the good, bad and ugly. 8 00:00:20,720 --> 00:00:24,119 Speaker 1: The best and worst day will bear all the facets. 9 00:00:23,600 --> 00:00:24,720 Speaker 2: Of Seizing your Yea. 10 00:00:26,400 --> 00:00:29,680 Speaker 1: I'm Sarah Davidson or a spoonful of Sarah, a lawyer 11 00:00:29,720 --> 00:00:32,400 Speaker 1: turned entrepreneur who swapped the suits and heels to co 12 00:00:32,520 --> 00:00:35,760 Speaker 1: found matcha Maiden and matcha Milk Bark. Seize the Ya 13 00:00:36,000 --> 00:00:38,519 Speaker 1: is a series of conversations on finding a life you 14 00:00:38,640 --> 00:00:42,560 Speaker 1: love and exploring the self doubt, challenge, joy and fulfillment 15 00:00:42,640 --> 00:00:48,800 Speaker 1: along the way. Hello everyone, I'm so glad that you've 16 00:00:48,840 --> 00:00:53,280 Speaker 1: been loving our running miniseries, and as promised, I'm thrilled 17 00:00:53,320 --> 00:00:55,920 Speaker 1: to have a second one for you kicking off today. 18 00:00:56,440 --> 00:00:59,600 Speaker 1: This one has changed my perspectives and extended my knowledge 19 00:00:59,800 --> 00:01:02,040 Speaker 1: just as much, but in a completely different way and 20 00:01:02,080 --> 00:01:04,039 Speaker 1: in relation to completely different. 21 00:01:03,800 --> 00:01:04,759 Speaker 2: Pathways to joy. 22 00:01:05,080 --> 00:01:07,960 Speaker 1: But that is exactly the essence of Seizing your yea, 23 00:01:08,280 --> 00:01:11,240 Speaker 1: it's meant to look different for everyone. The thing is 24 00:01:11,480 --> 00:01:13,319 Speaker 1: so often you don't know what you want your future 25 00:01:13,360 --> 00:01:15,759 Speaker 1: to look like until you can visualize it or see 26 00:01:15,800 --> 00:01:18,520 Speaker 1: it represent it somewhere out in the world. But lack 27 00:01:18,520 --> 00:01:21,400 Speaker 1: of exposure can really hinder people in finding their purpose 28 00:01:21,440 --> 00:01:24,720 Speaker 1: because they simply don't know it exists. Enter one of 29 00:01:24,760 --> 00:01:28,679 Speaker 1: the biggest challenges facing women in science, or the industries 30 00:01:28,760 --> 00:01:34,920 Speaker 1: broadly referred to as STEM science, technology, engineering, mathematics, and medicine. Today, 31 00:01:35,480 --> 00:01:38,920 Speaker 1: only twenty eight percent of researchers are women, with less 32 00:01:38,959 --> 00:01:42,319 Speaker 1: than twenty percent making up the most senior leadership positions, 33 00:01:42,319 --> 00:01:45,600 Speaker 1: and only three percent of scientific Nobel prizes have been 34 00:01:45,640 --> 00:01:48,960 Speaker 1: awarded to women. Numerous studies have also found that women 35 00:01:49,040 --> 00:01:52,200 Speaker 1: in STEM fields publish less, are paid less for their research, 36 00:01:52,280 --> 00:01:54,840 Speaker 1: and do not progress as far as men in their careers. 37 00:01:55,480 --> 00:01:58,160 Speaker 1: There are so many different factors contributing to this disparity, 38 00:01:58,480 --> 00:02:01,520 Speaker 1: but I'd say one is definitely the misconceptions surrounding what 39 00:02:01,600 --> 00:02:04,400 Speaker 1: scientists actually do and the industries that they could end 40 00:02:04,480 --> 00:02:04,919 Speaker 1: up working. 41 00:02:04,960 --> 00:02:05,120 Speaker 3: In. 42 00:02:05,720 --> 00:02:08,640 Speaker 1: Beauty and cosmetics, for example, is not quite the first 43 00:02:08,639 --> 00:02:12,840 Speaker 1: industry you'd connect with, say engineering or mathematics, but our 44 00:02:12,880 --> 00:02:17,200 Speaker 1: partner in this mini series. Lorrel was founded by scientists 45 00:02:17,280 --> 00:02:20,640 Speaker 1: over one hundred years ago. So without science, Laurel and 46 00:02:20,680 --> 00:02:22,720 Speaker 1: the many ways they have improved the lives of women 47 00:02:22,760 --> 00:02:26,640 Speaker 1: around the world simply wouldn't exist, which is why, for 48 00:02:26,840 --> 00:02:30,120 Speaker 1: over the past twenty years, the Loreal Corporate Foundation and 49 00:02:30,280 --> 00:02:33,720 Speaker 1: UNESCO have been committed to women in Science to increase 50 00:02:33,720 --> 00:02:37,239 Speaker 1: the number of women working in scientific research. In nineteen 51 00:02:37,320 --> 00:02:40,360 Speaker 1: ninety eight, Loreal and UNESCO founded the for Women in 52 00:02:40,440 --> 00:02:44,240 Speaker 1: Science Program to promote and highlight the critical importance of 53 00:02:44,400 --> 00:02:48,120 Speaker 1: ensuring greater participation of women in science. Each year, the 54 00:02:48,160 --> 00:02:52,639 Speaker 1: program recognizes the achievements of exceptional early career female scientists 55 00:02:53,000 --> 00:02:56,200 Speaker 1: and awards them with fellowships to help further their research. 56 00:02:56,320 --> 00:02:59,720 Speaker 1: And I'm so delighted to bring you the Neighborhood this 57 00:02:59,760 --> 00:03:03,960 Speaker 1: meet series showcasing the five twenty twenty one fellowship recipients 58 00:03:04,280 --> 00:03:09,160 Speaker 1: and the groundbreaking, honestly mind blowing work they're doing, highlighting 59 00:03:09,320 --> 00:03:13,720 Speaker 1: just how diverse, dynamic, and deeply impactful pathways in science 60 00:03:13,760 --> 00:03:16,920 Speaker 1: can be. If I'm honest, I've emerged kind of wanting 61 00:03:16,919 --> 00:03:19,440 Speaker 1: to move into science myself and wish there had been 62 00:03:19,480 --> 00:03:21,560 Speaker 1: programs like this when I was younger and at that 63 00:03:21,680 --> 00:03:23,279 Speaker 1: early stage of forming. 64 00:03:23,000 --> 00:03:25,080 Speaker 2: My idea of what careers actually existed. 65 00:03:25,680 --> 00:03:29,520 Speaker 1: Wonderfully, Lorel's work also includes a Girls in Science program 66 00:03:29,639 --> 00:03:33,240 Speaker 1: in partnership with UNSW and Melbourne University, where the Fellows 67 00:03:33,240 --> 00:03:35,600 Speaker 1: that you will hear from today are connected with girls 68 00:03:35,720 --> 00:03:38,320 Speaker 1: in schools to empower young women to forge careers in 69 00:03:38,400 --> 00:03:41,440 Speaker 1: STEM and inspire them to be part of a much 70 00:03:41,520 --> 00:03:45,920 Speaker 1: needed cultural change in the industry. Unfortunately, the in person 71 00:03:45,960 --> 00:03:48,960 Speaker 1: Girls in Science events were unable to go ahead. There 72 00:03:48,960 --> 00:03:51,080 Speaker 1: were two last year and they were hoping to redo 73 00:03:51,120 --> 00:03:55,560 Speaker 1: them this year, but fortunately this miniseries has taken their place. 74 00:03:55,640 --> 00:03:58,360 Speaker 1: So it's not just schoolgirls whose minds can be opened 75 00:03:58,400 --> 00:04:01,280 Speaker 1: by these five fascinating women and the way they're changing 76 00:04:01,280 --> 00:04:04,200 Speaker 1: the world. Even if you don't aspire to a career 77 00:04:04,280 --> 00:04:07,200 Speaker 1: in STEM. I was captivated by these amazing humans and 78 00:04:07,240 --> 00:04:11,360 Speaker 1: their stories, and I hope that you all are too so. 79 00:04:12,120 --> 00:04:15,160 Speaker 1: As I mentioned, there are five fellows across Australia and 80 00:04:15,240 --> 00:04:18,359 Speaker 1: New Zealand, all doing different but amazing work that we 81 00:04:18,440 --> 00:04:21,120 Speaker 1: are so lucky to have the chance to dive into. 82 00:04:21,480 --> 00:04:23,520 Speaker 1: I could have talked to each of them four hours. 83 00:04:23,560 --> 00:04:25,400 Speaker 1: As you all know, I am such a sucker for 84 00:04:25,400 --> 00:04:27,800 Speaker 1: a niche community, but so that we could hear from 85 00:04:27,839 --> 00:04:30,520 Speaker 1: all of them, we've done five mini interviews instead that 86 00:04:30,560 --> 00:04:33,120 Speaker 1: will be spread over the next two installments of Yeas 87 00:04:33,120 --> 00:04:36,440 Speaker 1: of Our Lives. In this episode, you'll be meeting two 88 00:04:36,520 --> 00:04:39,320 Speaker 1: women working in the area of climate change, but from 89 00:04:39,560 --> 00:04:45,000 Speaker 1: completely different angles. Doctor Mardoch Shaibani is an Iranian battery 90 00:04:45,160 --> 00:04:49,520 Speaker 1: engineer working on cleaner alternatives to lithium batteries, and doctor 91 00:04:49,600 --> 00:04:52,800 Speaker 1: Kirsty Nash is a marine biologist looking at the relationship 92 00:04:52,839 --> 00:04:56,800 Speaker 1: between changing nutrient production from fisheries and coral reefs on 93 00:04:56,839 --> 00:05:01,120 Speaker 1: the one hand, and micronutrient deficiencies in humans on the other. 94 00:05:01,600 --> 00:05:04,560 Speaker 1: Next week, our three scientists focus more on medical breakthroughs 95 00:05:04,880 --> 00:05:11,280 Speaker 1: across epilepsy, neuroscience, cardiovascular health, and anxiety. First up, we 96 00:05:11,360 --> 00:05:14,640 Speaker 1: have doctor Mardoch Shay Barney, who, as I mentioned, is 97 00:05:14,680 --> 00:05:18,120 Speaker 1: concerned with renewable energy sources and the battery supply chain. 98 00:05:18,600 --> 00:05:20,840 Speaker 1: I'd never really thought about there being battery engineers in 99 00:05:20,880 --> 00:05:23,160 Speaker 1: the world, but of course there has to be, and 100 00:05:23,240 --> 00:05:27,440 Speaker 1: doctor Shay Barney has been an inventor in four filed patents, 101 00:05:27,880 --> 00:05:31,599 Speaker 1: working not only on creating new greener batteries, which I 102 00:05:31,680 --> 00:05:34,400 Speaker 1: just found so fascinating to hear about, but also in 103 00:05:34,480 --> 00:05:39,000 Speaker 1: the policy area of bringing lithium battery technology manufacturing locally, 104 00:05:39,400 --> 00:05:42,600 Speaker 1: where Australia happens to be the only nation worldwide who 105 00:05:42,680 --> 00:05:46,160 Speaker 1: has access to all the raw materials necessary for that production, 106 00:05:46,520 --> 00:05:50,320 Speaker 1: and somehow we still aren't actually doing that. Mardoch was 107 00:05:50,320 --> 00:05:54,040 Speaker 1: born in Iran, attending Shiraz University for a Bachelor of Engineering, 108 00:05:54,080 --> 00:05:57,320 Speaker 1: then completing a Masters in Material Science and Engineering at 109 00:05:57,320 --> 00:06:01,120 Speaker 1: the coveted University of Tehran. Among the many things I 110 00:06:01,200 --> 00:06:04,560 Speaker 1: learned was that women are actively encouraged to pursue science 111 00:06:04,560 --> 00:06:06,800 Speaker 1: in Iran. So while many of us have heard of 112 00:06:06,839 --> 00:06:09,839 Speaker 1: Iran only through stories of warfare or hardship, it seems 113 00:06:09,880 --> 00:06:13,080 Speaker 1: they far outdo us in gender inequality in the sciences. 114 00:06:13,720 --> 00:06:15,800 Speaker 1: I'll let her tell you the rest herself, but I 115 00:06:15,839 --> 00:06:19,720 Speaker 1: hope you find her as fascinating as I do. Doctor 116 00:06:19,760 --> 00:06:21,360 Speaker 1: Shai Varney, welcome. 117 00:06:21,000 --> 00:06:21,559 Speaker 2: To the show. 118 00:06:22,000 --> 00:06:23,440 Speaker 3: Thank you, thanks for having me. 119 00:06:23,680 --> 00:06:25,960 Speaker 2: It is so lovely to meet you. 120 00:06:25,960 --> 00:06:28,279 Speaker 1: You are a fellow Monash girl, so I was already 121 00:06:28,320 --> 00:06:30,719 Speaker 1: in love with you before I even started reading about 122 00:06:30,720 --> 00:06:32,880 Speaker 1: the wonderful things you've gone on to do since then, 123 00:06:33,000 --> 00:06:35,000 Speaker 1: So thank you so much for your time. 124 00:06:35,400 --> 00:06:37,520 Speaker 3: Oh that's so cn. Yeah, I'm quite happy to be 125 00:06:37,600 --> 00:06:38,120 Speaker 3: here asabe. 126 00:06:39,960 --> 00:06:42,839 Speaker 1: So, I mean, you are just doing incredible work in 127 00:06:42,880 --> 00:06:45,080 Speaker 1: renewable energy, which is an area I think all of 128 00:06:45,120 --> 00:06:46,960 Speaker 1: us have started to pay a lot more attention to 129 00:06:47,720 --> 00:06:50,480 Speaker 1: in recent years and in the recent decade. And something 130 00:06:50,480 --> 00:06:53,040 Speaker 1: that I always say on this show talking about people's 131 00:06:53,080 --> 00:06:57,599 Speaker 1: pathways and starting businesses or starting new pathways in life is, oh, 132 00:06:57,640 --> 00:06:59,360 Speaker 1: you don't have to reinvent the wheel. You know, you 133 00:06:59,400 --> 00:07:01,320 Speaker 1: don't have to all invent new things. You just have 134 00:07:01,400 --> 00:07:03,719 Speaker 1: to do it differently. Whereas you over here are literally 135 00:07:03,800 --> 00:07:08,120 Speaker 1: inventing new things all the time. So that's absolutely fascinating. 136 00:07:08,200 --> 00:07:10,920 Speaker 1: I'm honored and humbled to be in your presence. You're 137 00:07:10,920 --> 00:07:14,960 Speaker 1: a research fellow in mechanical and Aerospace engineering. I mean, 138 00:07:15,080 --> 00:07:16,920 Speaker 1: I don't even know where to start. I don't think 139 00:07:16,920 --> 00:07:19,520 Speaker 1: I even have the language to have this conversation. 140 00:07:21,360 --> 00:07:23,960 Speaker 3: You've been kind, I'm not nervous. 141 00:07:26,640 --> 00:07:30,080 Speaker 1: So just to sort of kick us off, I'd love 142 00:07:30,120 --> 00:07:32,040 Speaker 1: to go through, you know, the journey of how you 143 00:07:32,160 --> 00:07:35,160 Speaker 1: got here and any messages that you have for other 144 00:07:35,200 --> 00:07:38,680 Speaker 1: women who are aspiring towards a career in science or engineering. 145 00:07:38,760 --> 00:07:40,680 Speaker 1: Or you know, any of the stem you know kind 146 00:07:40,720 --> 00:07:43,200 Speaker 1: of career pathways. But I'd love you to give us 147 00:07:43,200 --> 00:07:46,280 Speaker 1: a lay person's explanation of what you're actually working on 148 00:07:46,480 --> 00:07:49,360 Speaker 1: at the moment and some of the patents you've got out. 149 00:07:49,400 --> 00:07:51,560 Speaker 1: I know you've you know, you've developed the world's most 150 00:07:51,600 --> 00:07:55,040 Speaker 1: efficient lithiumself about tree, like doing all these incredible things, 151 00:07:55,080 --> 00:07:56,760 Speaker 1: but I didn't understand a lot of it. So just 152 00:07:56,800 --> 00:07:58,640 Speaker 1: to kind of give us a lay of the land, 153 00:07:58,720 --> 00:08:01,320 Speaker 1: can you tell us what your job is and the 154 00:08:01,480 --> 00:08:03,360 Speaker 1: impact of kind of the work that you're doing on 155 00:08:03,440 --> 00:08:03,840 Speaker 1: the world. 156 00:08:04,120 --> 00:08:08,720 Speaker 3: Sure. Yeah. So I'm a battery engineer, and I work 157 00:08:08,800 --> 00:08:13,160 Speaker 3: towards making rechargeable batteries to assort the energy of renewables 158 00:08:13,160 --> 00:08:17,920 Speaker 3: son and bend, and also to electrifi our transportation, electric cars, 159 00:08:18,120 --> 00:08:22,600 Speaker 3: electric process. Now, my focus is not only on making 160 00:08:22,840 --> 00:08:27,800 Speaker 3: more powerful, longer lasting batteries, but also to make greener, 161 00:08:28,040 --> 00:08:32,679 Speaker 3: more sustainable, and more affordable batteries as well, batteries basically 162 00:08:32,800 --> 00:08:38,080 Speaker 3: to charge of our efforts towards fighting climate change. So yeah, 163 00:08:38,160 --> 00:08:39,439 Speaker 3: that's basically what I do. 164 00:08:39,640 --> 00:08:41,720 Speaker 2: Yeah, oh my gosh, that is so cool. 165 00:08:41,800 --> 00:08:44,040 Speaker 1: And I've also been reading that it's not just about 166 00:08:44,120 --> 00:08:47,440 Speaker 1: the actual development of using Like I was reading about 167 00:08:47,440 --> 00:08:49,800 Speaker 1: your favorite ingredients, I think it's in your Twitter bio. 168 00:08:50,200 --> 00:08:55,200 Speaker 1: My favorite ingredients minor like avocado, chocolate, your the lithium, sulfur, 169 00:08:55,360 --> 00:08:56,840 Speaker 1: silicon carbon. 170 00:08:56,920 --> 00:08:59,640 Speaker 3: It's so cool, good that you find it cool. 171 00:09:01,160 --> 00:09:03,280 Speaker 1: It's nerdy and cool. I think that's the best thing 172 00:09:03,280 --> 00:09:07,280 Speaker 1: about it. Nerdy is cool these days. I know that 173 00:09:07,320 --> 00:09:09,400 Speaker 1: a lot of your kind of policy work is also 174 00:09:09,480 --> 00:09:12,679 Speaker 1: not just around developing new batteries, but also bringing that 175 00:09:12,760 --> 00:09:16,480 Speaker 1: manufacturing locally, because there's a bit of a monopoly globally 176 00:09:16,559 --> 00:09:20,320 Speaker 1: on in the sector of creating renewable energy technology. So 177 00:09:20,400 --> 00:09:21,880 Speaker 1: can you talk to us a little bit about that 178 00:09:22,000 --> 00:09:25,720 Speaker 1: as well, like what the landscape looks like, the countries 179 00:09:25,720 --> 00:09:28,839 Speaker 1: that are currently producing for the marketplace, and what you're 180 00:09:28,920 --> 00:09:31,160 Speaker 1: kind of trying to achieve back home. 181 00:09:31,480 --> 00:09:34,720 Speaker 3: Sure, yeah, well I'm glad you brought that up. So 182 00:09:35,160 --> 00:09:39,200 Speaker 3: I guess you may find it very interesting that Australia 183 00:09:39,440 --> 00:09:43,120 Speaker 3: is the only country in the world that has access 184 00:09:43,200 --> 00:09:46,480 Speaker 3: to all the ten minerals that are used to make 185 00:09:46,559 --> 00:09:49,600 Speaker 3: littiar wine batteries they want, and only country, so we're 186 00:09:49,600 --> 00:09:54,120 Speaker 3: truly blessed with them. But on the downside, I'm afraid 187 00:09:54,160 --> 00:09:56,080 Speaker 3: I have to say that we don't make citti wine 188 00:09:56,080 --> 00:10:00,439 Speaker 3: batteries in Australia, so as a Prime Minister are Iceleyan 189 00:10:00,520 --> 00:10:02,839 Speaker 3: also sadly put it the other day, we are very 190 00:10:02,880 --> 00:10:07,840 Speaker 3: good at digging and shipping. So that's basically what we 191 00:10:07,880 --> 00:10:12,480 Speaker 3: do here. We mind for the battery minerals and we 192 00:10:12,520 --> 00:10:15,080 Speaker 3: don't even process them. We sell them kind of as 193 00:10:15,080 --> 00:10:19,600 Speaker 3: it is to other countries to basically profit. Process the 194 00:10:19,600 --> 00:10:22,480 Speaker 3: battery materials, make the sales, make the batteries and then 195 00:10:22,520 --> 00:10:25,280 Speaker 3: sell it back to us, of course with a profit. 196 00:10:26,320 --> 00:10:30,480 Speaker 3: So that's why in addition to making batteries as of 197 00:10:30,679 --> 00:10:33,320 Speaker 3: a few years ago, I've also started to advocate for 198 00:10:33,840 --> 00:10:37,120 Speaker 3: making the batteries here in Australia in our land on 199 00:10:37,280 --> 00:10:41,560 Speaker 3: shore because I know that if Australians want to drive 200 00:10:41,640 --> 00:10:44,600 Speaker 3: more electric cars, and we don't really drive electric cars 201 00:10:44,600 --> 00:10:48,760 Speaker 3: in Australia, if they want to install batteries for their 202 00:10:48,840 --> 00:10:52,520 Speaker 3: solar panels to save on their electricity bills, we need 203 00:10:52,559 --> 00:10:55,760 Speaker 3: to make the batteries here in Australia. So yeah, that's 204 00:10:55,800 --> 00:10:59,160 Speaker 3: why I have made that an additional focus of Carrier 205 00:10:59,280 --> 00:11:04,440 Speaker 3: to advocate for an independent local battery supply chain for Australia. 206 00:11:04,480 --> 00:11:05,240 Speaker 2: Oh my gosh. 207 00:11:05,600 --> 00:11:07,600 Speaker 1: I mean even the fact that there are so many 208 00:11:07,600 --> 00:11:10,360 Speaker 1: of us walking around not even knowing that the landscape 209 00:11:10,440 --> 00:11:12,880 Speaker 1: is like that. I've already learned so much just in 210 00:11:12,920 --> 00:11:15,840 Speaker 1: the first five minutes of the conversation. It's crazy that 211 00:11:15,880 --> 00:11:19,040 Speaker 1: we actually, you know, I imagine that sometimes the barrier 212 00:11:19,080 --> 00:11:22,000 Speaker 1: to manufacturing is not actually having access to the ingredients, 213 00:11:22,000 --> 00:11:22,640 Speaker 1: but the fact that. 214 00:11:22,600 --> 00:11:26,040 Speaker 2: We're the only place that does. That's crazy. 215 00:11:26,600 --> 00:11:30,440 Speaker 3: Yeah, yeah, that's actually very true. So I guess with 216 00:11:30,600 --> 00:11:34,600 Speaker 3: all the activities that now is happening around the climate change, 217 00:11:34,800 --> 00:11:38,160 Speaker 3: you know that the United Nations Climate Change Conference is 218 00:11:38,160 --> 00:11:40,680 Speaker 3: pretty close, is probably in three days time now. 219 00:11:41,880 --> 00:11:43,000 Speaker 2: Oh wow. 220 00:11:45,120 --> 00:11:48,520 Speaker 3: I find it quite heartened and quite encouraging that probably 221 00:11:48,559 --> 00:11:52,880 Speaker 3: for the first time, our government has finally admitted that 222 00:11:53,000 --> 00:11:56,560 Speaker 3: it's pretty critical to attend these sort of conferences and 223 00:11:56,640 --> 00:11:59,520 Speaker 3: commit to what the world has started to commit to 224 00:11:59,600 --> 00:12:04,080 Speaker 3: basic cut the emissions. They also unveiled their plan to 225 00:12:04,480 --> 00:12:09,080 Speaker 3: reach net zero in twenty fifty yesterday actually, and I 226 00:12:09,120 --> 00:12:12,880 Speaker 3: guess that puts a nicest smile on many of our faces. 227 00:12:13,280 --> 00:12:16,439 Speaker 1: Yeah, yes, And how lucky is the industry, and I 228 00:12:16,480 --> 00:12:18,640 Speaker 1: mean the country as a whole to have advocates like 229 00:12:18,720 --> 00:12:21,440 Speaker 1: you who are actually pushing this cause forward. Well the 230 00:12:21,440 --> 00:12:23,040 Speaker 1: rest of us are. You're having no idea that it's 231 00:12:23,080 --> 00:12:26,000 Speaker 1: actually going on. But I'm so excited to be learning 232 00:12:26,040 --> 00:12:29,480 Speaker 1: from you here today. What about your R and D 233 00:12:29,600 --> 00:12:33,360 Speaker 1: experience in battery proto typing? Because I think a lot 234 00:12:33,440 --> 00:12:36,560 Speaker 1: of us probably have heard the word lithium battery. We 235 00:12:36,720 --> 00:12:41,520 Speaker 1: kind of understand moving towards electricity versus other kinds of fuels. 236 00:12:41,640 --> 00:12:44,880 Speaker 1: But you know you've actually invented four filed patents. Can 237 00:12:44,920 --> 00:12:46,640 Speaker 1: you talk to us a little bit about what a 238 00:12:46,720 --> 00:12:50,520 Speaker 1: lithium battery is, what it's replacing. I read something in 239 00:12:50,559 --> 00:12:53,520 Speaker 1: your research about a spoonful of sugar or something. 240 00:12:55,160 --> 00:12:58,800 Speaker 3: Yeah, so I guess I'll answer your question. We're giving 241 00:12:58,840 --> 00:13:02,480 Speaker 3: you a quick bagger about the type of battery, the 242 00:13:02,520 --> 00:13:05,240 Speaker 3: particular type of battery that I work on, which is 243 00:13:05,280 --> 00:13:09,360 Speaker 3: called lithium sulfur battery. Because this technology is quite different 244 00:13:09,480 --> 00:13:13,160 Speaker 3: from the commonly used lithium ion batteries that we rely 245 00:13:13,280 --> 00:13:17,840 Speaker 3: on heavily on our everyday devices, So litium ion batteries, 246 00:13:17,920 --> 00:13:21,000 Speaker 3: it's a very mineral intensive battery. We use a lot 247 00:13:21,040 --> 00:13:24,160 Speaker 3: of basically heavy metals in making these batteries such as 248 00:13:24,240 --> 00:13:27,840 Speaker 3: nikkel and cobalt, which are of course excellent for storing 249 00:13:27,960 --> 00:13:33,080 Speaker 3: and delivering energy, but there are downsides towards using these 250 00:13:33,080 --> 00:13:36,319 Speaker 3: materials which are as of the past few years, the 251 00:13:36,400 --> 00:13:40,320 Speaker 3: climate scientists, the kilimeate engineers have started to unveil these 252 00:13:40,360 --> 00:13:44,400 Speaker 3: outsides at the so called dirty secrets behind litium ion 253 00:13:44,440 --> 00:13:48,480 Speaker 3: batteries because there is a lot of environmental concerns and 254 00:13:48,520 --> 00:13:53,960 Speaker 3: also humanitarian concerns around mining for these materials. For example, 255 00:13:54,080 --> 00:13:56,559 Speaker 3: most of us probably we think that by driving an 256 00:13:56,559 --> 00:14:02,320 Speaker 3: electric vehicle an electrical we are saving the planet, we're 257 00:14:02,360 --> 00:14:06,320 Speaker 3: contributing it. But it turds that the production of lithium 258 00:14:06,360 --> 00:14:10,560 Speaker 3: ion batteries, it's accompanied with emitting a lot of carbon 259 00:14:10,600 --> 00:14:15,240 Speaker 3: dioxide in the environment. So the batteries are not as 260 00:14:15,280 --> 00:14:17,920 Speaker 3: killing as we think they are, which means that driving 261 00:14:17,920 --> 00:14:22,280 Speaker 3: an ivy is not as positive as we think it is. 262 00:14:22,880 --> 00:14:27,560 Speaker 3: That's why I'm working on lithium software battery. So it 263 00:14:27,720 --> 00:14:30,920 Speaker 3: promises to be a much greener battery because it does 264 00:14:30,960 --> 00:14:34,240 Speaker 3: not rely on any sort of heavy metals, no nikiel, 265 00:14:34,320 --> 00:14:37,640 Speaker 3: no cobalt, anything at all. It relies on sulfur, which 266 00:14:37,680 --> 00:14:44,000 Speaker 3: is pretty cheap, pretty abandoned element, and geographically you could 267 00:14:44,040 --> 00:14:46,640 Speaker 3: find it pretty much on all the right prices in 268 00:14:46,680 --> 00:14:51,760 Speaker 3: the world. The places that are basically there are stable countries, Whereas, 269 00:14:51,800 --> 00:14:54,600 Speaker 3: for example, when it comes to cobalt, which is a 270 00:14:54,720 --> 00:14:59,560 Speaker 3: key ingredient in making lithium ion batteries, almost seventy percent 271 00:14:59,600 --> 00:15:04,320 Speaker 3: of the cobalt deposits are found in the Republic of Congo, 272 00:15:04,880 --> 00:15:08,040 Speaker 3: which is not the sort of country that you want 273 00:15:08,080 --> 00:15:11,600 Speaker 3: to rely on, and it's basically tens of thousands of 274 00:15:12,360 --> 00:15:18,040 Speaker 3: children mining digging for cobalt in very harsh, very unfair conditions. 275 00:15:18,880 --> 00:15:21,600 Speaker 3: So yeah, that's why I have my focus on a 276 00:15:21,720 --> 00:15:26,200 Speaker 3: Patrick chemistry, which promises to be greener the for battery. Yeah. 277 00:15:26,240 --> 00:15:30,280 Speaker 1: Oh my gosh, mother, I've got goosebumps just thinking about 278 00:15:30,320 --> 00:15:32,200 Speaker 1: the impact that your work is going to have on 279 00:15:32,240 --> 00:15:33,240 Speaker 1: the entire universe. 280 00:15:33,280 --> 00:15:35,200 Speaker 2: This is just absolutely mind blowing. 281 00:15:35,600 --> 00:15:37,600 Speaker 1: But I think one of the things that's really interesting 282 00:15:37,600 --> 00:15:40,320 Speaker 1: and I'd love to dive into now, is that most 283 00:15:40,400 --> 00:15:43,080 Speaker 1: little girls don't wake up at five or six and 284 00:15:43,120 --> 00:15:46,600 Speaker 1: go I want to work on batteries in the energy sector, Like, 285 00:15:46,680 --> 00:15:48,960 Speaker 1: it's not usually the thing that you wake up as 286 00:15:48,960 --> 00:15:51,080 Speaker 1: a young child. You know, we're often like I want 287 00:15:51,080 --> 00:15:53,080 Speaker 1: to be a ballerina, or I want to be an 288 00:15:53,080 --> 00:15:55,960 Speaker 1: actress or a singer. So one of the things we're 289 00:15:56,080 --> 00:15:59,440 Speaker 1: very fascinated by here at this show at Eza is 290 00:15:59,520 --> 00:16:01,720 Speaker 1: your part pathway, or we call it your path ya. 291 00:16:01,960 --> 00:16:04,280 Speaker 1: So how you actually got into where you are today? 292 00:16:04,320 --> 00:16:07,520 Speaker 1: And I think it's still perceived that for women in 293 00:16:07,600 --> 00:16:10,520 Speaker 1: STEM it's a tougher industry to get into. 294 00:16:10,720 --> 00:16:12,080 Speaker 2: There are a lot of barriers. 295 00:16:11,680 --> 00:16:15,040 Speaker 1: That we face along the way, and also even outside 296 00:16:15,040 --> 00:16:18,000 Speaker 1: of STEM, I think there is no linear pathway to 297 00:16:18,080 --> 00:16:21,640 Speaker 1: anything these days. Everyone takes twists and turns, and it's 298 00:16:21,720 --> 00:16:23,960 Speaker 1: just about trusting that you will eventually end up where 299 00:16:23,960 --> 00:16:26,000 Speaker 1: you're supposed to, even if you know there are lots 300 00:16:26,000 --> 00:16:28,400 Speaker 1: of diversions along the way. So can you take us 301 00:16:28,400 --> 00:16:31,040 Speaker 1: back to, you know, maybe when you were at school 302 00:16:31,320 --> 00:16:34,320 Speaker 1: or back at you know, Tehran University, like before you 303 00:16:34,400 --> 00:16:36,720 Speaker 1: even knew that you were coming to Australia, Like how 304 00:16:36,760 --> 00:16:40,680 Speaker 1: did you actually forge your way into engineering? And how 305 00:16:40,680 --> 00:16:41,880 Speaker 1: has that pathway been for you? 306 00:16:42,320 --> 00:16:47,040 Speaker 3: Sure? Yeah, So, well, I come from a different background, 307 00:16:47,120 --> 00:16:49,760 Speaker 3: different country. I was born in Iran, as you said, 308 00:16:49,840 --> 00:16:55,240 Speaker 3: and engineering is actually a very well defined profession for 309 00:16:55,320 --> 00:16:57,760 Speaker 3: both men and women in my whole country. 310 00:16:58,240 --> 00:16:58,960 Speaker 2: I didn't know that. 311 00:16:59,720 --> 00:17:02,160 Speaker 3: Yeah, yeah, So I guess at high school I was 312 00:17:02,200 --> 00:17:05,560 Speaker 3: good at math and physics. And then I also found 313 00:17:05,560 --> 00:17:10,320 Speaker 3: myself surrounded by successful engineers in my family, in the society, 314 00:17:10,680 --> 00:17:13,520 Speaker 3: men and women. And I guess back then I had 315 00:17:13,560 --> 00:17:18,800 Speaker 3: no difficulty picturing my future self in these engineers, again, 316 00:17:18,840 --> 00:17:20,879 Speaker 3: men and women. It was clear as a day to 317 00:17:20,920 --> 00:17:25,280 Speaker 3: me that if I wanted to design something, make something, 318 00:17:25,560 --> 00:17:28,600 Speaker 3: change something for the better, to have an impact on 319 00:17:28,840 --> 00:17:31,760 Speaker 3: my daily life, my family's daily life, I should become 320 00:17:31,800 --> 00:17:35,640 Speaker 3: an engineer. But I guess when I came to Australia, 321 00:17:35,720 --> 00:17:40,040 Speaker 3: I noted that the situation in Australia is a bit 322 00:17:40,080 --> 00:17:45,120 Speaker 3: different and I'm afraid a bit concerning. So, for example, 323 00:17:45,119 --> 00:17:49,520 Speaker 3: in Australia, the proportion of women across STDM qualified industries, 324 00:17:50,040 --> 00:17:54,199 Speaker 3: it's currently around twenty eight percent, which is, i'm afraid, 325 00:17:54,240 --> 00:17:58,000 Speaker 3: as good as the worst performing European country. In fact, 326 00:17:58,040 --> 00:18:01,359 Speaker 3: we are wow, we are to day is below the 327 00:18:01,400 --> 00:18:03,800 Speaker 3: average of where Europe was twenty years ago. 328 00:18:04,400 --> 00:18:07,440 Speaker 2: Oh yeah, I no idea. 329 00:18:07,600 --> 00:18:10,679 Speaker 3: Yeah, when when you compare these statistics like twenty percent 330 00:18:10,720 --> 00:18:15,600 Speaker 3: with countries such as Denmark or Norway, the proportion of 331 00:18:15,880 --> 00:18:21,879 Speaker 3: women in engineering in these countries is actually above fifty percent. Wow. Yeah. So, 332 00:18:22,080 --> 00:18:25,520 Speaker 3: and then the most worrying statistics for me is amongst 333 00:18:25,520 --> 00:18:30,760 Speaker 3: the STM field is engineering. Where as far as I'm concerned, 334 00:18:30,920 --> 00:18:34,359 Speaker 3: this number, this statistics is as low as twelve percent 335 00:18:34,440 --> 00:18:37,920 Speaker 3: in Australia. No again, you know where I come from. 336 00:18:38,280 --> 00:18:41,960 Speaker 3: It's fifty percent. Fifty percent of the engineers or women. Wow. 337 00:18:42,359 --> 00:18:46,200 Speaker 3: So yeah, I guess something to worry about. Yeah yeah, 338 00:18:46,240 --> 00:18:49,320 Speaker 3: I mean we live in an engineering world, and if 339 00:18:49,320 --> 00:18:53,160 Speaker 3: we fail to encourage our girls to take up mathematics 340 00:18:53,160 --> 00:18:57,080 Speaker 3: and physics in high school and pursue careers in engineering, 341 00:18:57,640 --> 00:19:00,560 Speaker 3: it's like we are sending i'd say, care team of 342 00:19:00,600 --> 00:19:03,720 Speaker 3: five six perla years to the World Cup rather than eleven. 343 00:19:04,440 --> 00:19:05,040 Speaker 3: It will lose. 344 00:19:05,760 --> 00:19:06,960 Speaker 2: Oh my gosh. 345 00:19:07,040 --> 00:19:09,720 Speaker 1: That's such a good analogy and it makes so much 346 00:19:09,760 --> 00:19:11,320 Speaker 1: sense when you put it that way. But it's also 347 00:19:11,600 --> 00:19:14,720 Speaker 1: really interesting because I think a lot of Australians consider 348 00:19:15,280 --> 00:19:18,320 Speaker 1: that we're very progressive and consider that that applies in 349 00:19:18,400 --> 00:19:21,520 Speaker 1: lots of areas, but would be very surprised by those 350 00:19:21,520 --> 00:19:25,879 Speaker 1: statistics and to hear that you actually didn't encounter many 351 00:19:25,920 --> 00:19:28,720 Speaker 1: barriers as a woman in science and technology until you 352 00:19:28,800 --> 00:19:32,520 Speaker 1: arrived in Australia is actually quite a confronting revelation and 353 00:19:32,600 --> 00:19:35,159 Speaker 1: something that definitely inspires me to want to change that 354 00:19:35,240 --> 00:19:38,679 Speaker 1: for my future daughter and my future nieces or you know, 355 00:19:38,800 --> 00:19:42,240 Speaker 1: the next generation of tomorrow. But I think it's something 356 00:19:42,640 --> 00:19:44,399 Speaker 1: something else that you said about the fact that you 357 00:19:44,800 --> 00:19:48,919 Speaker 1: were surrounded by examples that you could then use to 358 00:19:49,080 --> 00:19:52,040 Speaker 1: envision your own future. That's why you are so inspiring 359 00:19:52,080 --> 00:19:55,359 Speaker 1: today because all you need is to see yourself represented 360 00:19:55,400 --> 00:19:57,600 Speaker 1: in around you. And I think that's the same with 361 00:19:58,080 --> 00:20:01,680 Speaker 1: not just Korea, but sexuality, identity, you know, all kinds 362 00:20:01,720 --> 00:20:04,440 Speaker 1: of things. We just need to feel represented or feel 363 00:20:04,480 --> 00:20:07,240 Speaker 1: like there's a version of us out there. So you're 364 00:20:07,280 --> 00:20:10,159 Speaker 1: already a wonderful role model for younger women who are 365 00:20:10,160 --> 00:20:14,200 Speaker 1: trying to get into science since coming here. What are 366 00:20:14,280 --> 00:20:16,680 Speaker 1: some of the barriers that you found as a woman 367 00:20:17,080 --> 00:20:20,520 Speaker 1: in your career and what would you give as advice 368 00:20:20,600 --> 00:20:23,560 Speaker 1: to any young women entering the industry in Australia to 369 00:20:23,640 --> 00:20:25,840 Speaker 1: sort of helping change that statistic. 370 00:20:26,200 --> 00:20:31,480 Speaker 3: Well, honestly, Sarah, as a woman, I haven't faced math challenges, 371 00:20:31,600 --> 00:20:35,120 Speaker 3: but it's as an engineer how I faced the challenges. 372 00:20:36,160 --> 00:20:41,800 Speaker 3: Because my personal viewpoint is that there is lack of awareness, 373 00:20:41,960 --> 00:20:47,680 Speaker 3: lack of appreciation in Australian amongst Australian families for engineering 374 00:20:47,840 --> 00:20:51,960 Speaker 3: for engineering jobs. I was reading an article in ABC 375 00:20:52,400 --> 00:20:55,680 Speaker 3: about this high school year who was pretty good at 376 00:20:55,840 --> 00:20:59,520 Speaker 3: math and physics at high school and she said that 377 00:20:59,600 --> 00:21:02,000 Speaker 3: back then and she had no idea how it will 378 00:21:02,720 --> 00:21:06,720 Speaker 3: be good for her for her future career. Parents didn't 379 00:21:06,720 --> 00:21:09,560 Speaker 3: go to university, no one in the family goes to university. 380 00:21:09,640 --> 00:21:14,240 Speaker 3: And then apparently she didn't learn much about engineering jobs 381 00:21:14,480 --> 00:21:19,280 Speaker 3: their prospects at high school. So I would assume that 382 00:21:19,480 --> 00:21:22,320 Speaker 3: if that girl had a bit of more knowledge about 383 00:21:22,359 --> 00:21:26,880 Speaker 3: the perspectives of the engineering jobs, maybe some female engineers 384 00:21:26,960 --> 00:21:29,399 Speaker 3: as their role models to look at, she would have 385 00:21:29,440 --> 00:21:31,600 Speaker 3: probably taken a different pathway. She could have been a 386 00:21:31,600 --> 00:21:36,480 Speaker 3: successful climate engineer saving lives now. So is the lack 387 00:21:36,520 --> 00:21:40,640 Speaker 3: of appreciation for engineering jobs is in Australia That makes 388 00:21:40,680 --> 00:21:44,080 Speaker 3: me a bit concerned. Yeah, both amongst I would say, 389 00:21:44,359 --> 00:21:45,119 Speaker 3: boys and girls. 390 00:21:45,480 --> 00:21:48,800 Speaker 1: Yeah, And I think there's also a very close association 391 00:21:48,960 --> 00:21:52,720 Speaker 1: made between engineering and construction. So women automatically think, oh, 392 00:21:52,760 --> 00:21:54,520 Speaker 1: I'd be out on a building side, or I'd be 393 00:21:54,680 --> 00:21:57,880 Speaker 1: dealing with big machinery, and it's I mean, that's definitely 394 00:21:57,920 --> 00:22:01,440 Speaker 1: part of engineering. But the engineers I've spoken to, even 395 00:22:01,480 --> 00:22:04,080 Speaker 1: through this program or just read in articles, even when 396 00:22:04,080 --> 00:22:05,840 Speaker 1: I was doing my research into you and then reading 397 00:22:05,840 --> 00:22:09,080 Speaker 1: about some of your colleagues, like I was surprised at 398 00:22:09,160 --> 00:22:11,720 Speaker 1: how non large machinery. 399 00:22:11,200 --> 00:22:12,439 Speaker 2: Based your work is. 400 00:22:12,520 --> 00:22:15,159 Speaker 1: What are some of the other unexpected parts of your 401 00:22:15,200 --> 00:22:17,880 Speaker 1: job that might surprise someone who didn't understand the industry, 402 00:22:18,000 --> 00:22:22,280 Speaker 1: Like you're doing very specific work on chemical compounds, you know, 403 00:22:22,359 --> 00:22:24,959 Speaker 1: and I don't think people understand that that's also a possibility. 404 00:22:25,000 --> 00:22:27,399 Speaker 1: You don't have to be out on building sites to 405 00:22:27,400 --> 00:22:28,120 Speaker 1: be an engineer. 406 00:22:28,560 --> 00:22:31,680 Speaker 3: Yeah, I guess. Yeah, thanks for pointing data. I think 407 00:22:31,800 --> 00:22:34,639 Speaker 3: it's very subtle what you pointed out. I'd say that 408 00:22:34,800 --> 00:22:38,119 Speaker 3: it would be fantastic if our high schools, with the 409 00:22:38,160 --> 00:22:41,920 Speaker 3: help of our successful female engineers, even male engineers, they 410 00:22:41,960 --> 00:22:45,480 Speaker 3: tried to create more awareness about the simple definition of 411 00:22:45,680 --> 00:22:49,560 Speaker 3: different engineering discipline Like what does a mechanical engineer do, 412 00:22:49,800 --> 00:22:52,560 Speaker 3: What does a chemical engineer do? What does like a 413 00:22:52,600 --> 00:22:56,280 Speaker 3: material engineer, a battery engineers such as myself does. Yeah, 414 00:22:56,720 --> 00:23:01,000 Speaker 3: it's definitely not all about construction. It's like one out 415 00:23:01,000 --> 00:23:02,080 Speaker 3: of the many disciplines. 416 00:23:02,359 --> 00:23:04,960 Speaker 1: I didn't even know that battery engineers exist, although of 417 00:23:05,000 --> 00:23:07,000 Speaker 1: course when you think about it, of course they do. 418 00:23:08,240 --> 00:23:10,400 Speaker 1: But I think putting a name on it also really helps. 419 00:23:10,400 --> 00:23:13,760 Speaker 1: And I mean that's why I'm so so inspired by 420 00:23:14,040 --> 00:23:17,720 Speaker 1: Lorel's commitment to not only the fellowships that will allow 421 00:23:17,920 --> 00:23:22,120 Speaker 1: researchers and incredible inventors like yourself to continue your work, 422 00:23:22,160 --> 00:23:24,439 Speaker 1: but also then to provide access to that to girls 423 00:23:24,480 --> 00:23:27,560 Speaker 1: in science and bringing the knowledge of what you do 424 00:23:27,640 --> 00:23:29,760 Speaker 1: into schools, because I think you're right. I think it's 425 00:23:29,760 --> 00:23:32,600 Speaker 1: at school age that you need exposure to these ideas 426 00:23:32,640 --> 00:23:34,800 Speaker 1: because you can't know you want to be a battery 427 00:23:34,840 --> 00:23:37,480 Speaker 1: engineer until you've heard it from one, or until you've 428 00:23:37,520 --> 00:23:40,439 Speaker 1: met one, and you know that they exist, and you 429 00:23:40,560 --> 00:23:42,960 Speaker 1: have a job and you love what you do, and 430 00:23:43,080 --> 00:23:45,960 Speaker 1: to kind of understand all aspects of that is really exciting. 431 00:23:46,040 --> 00:23:48,200 Speaker 1: So how has it felt for you to be part 432 00:23:48,200 --> 00:23:50,560 Speaker 1: of the fellowship? What will it allow you to do? 433 00:23:50,760 --> 00:23:53,120 Speaker 1: And do you get excited to be able to sort 434 00:23:53,119 --> 00:23:55,360 Speaker 1: of spread the message to younger girls in science? 435 00:23:55,520 --> 00:23:58,119 Speaker 3: Yeah? I agree with you, Sarah. I think that Lauria 436 00:23:58,280 --> 00:24:01,399 Speaker 3: is doing is pretty awesome. When I first heard about 437 00:24:01,440 --> 00:24:05,920 Speaker 3: the program out of curiosity, I could get to see 438 00:24:05,960 --> 00:24:10,080 Speaker 3: whether there are other programs like this in Australia, and 439 00:24:10,960 --> 00:24:14,680 Speaker 3: I'm afraid there aren't many of them. So what Loreal 440 00:24:14,760 --> 00:24:18,400 Speaker 3: is doing is pretty awesome. And I looked at sort 441 00:24:18,400 --> 00:24:22,000 Speaker 3: of activities that are designed for their fellows and this 442 00:24:22,240 --> 00:24:26,760 Speaker 3: one talking to their high school girls about yeah, our careers, 443 00:24:26,760 --> 00:24:29,000 Speaker 3: our patries, our golds and so on. That was the 444 00:24:29,000 --> 00:24:32,919 Speaker 3: most exciting part of that activity, which yeah, yeah, I 445 00:24:33,000 --> 00:24:34,800 Speaker 3: was so excited to know about this. 446 00:24:35,119 --> 00:24:37,760 Speaker 1: Yeah, I think it's so great because I remember also 447 00:24:37,800 --> 00:24:39,359 Speaker 1: being in high school and I think part of the 448 00:24:39,400 --> 00:24:42,960 Speaker 1: reason I ended up choosing law was because I only 449 00:24:43,000 --> 00:24:46,600 Speaker 1: really knew about four jobs, you know, really thought that 450 00:24:46,640 --> 00:24:51,080 Speaker 1: there was sort of law, medicine, teaching, become an athlete, 451 00:24:51,080 --> 00:24:52,879 Speaker 1: which was I was obviously not going to do, you know, 452 00:24:53,040 --> 00:24:56,000 Speaker 1: I just didn't The world seems so narrow until someone 453 00:24:56,040 --> 00:24:58,560 Speaker 1: else helps you start to open it up. So and 454 00:24:58,600 --> 00:25:00,840 Speaker 1: I think also, I mean, this is just totally off topic, 455 00:25:00,880 --> 00:25:03,199 Speaker 1: but I think also our perceptions in everything can be 456 00:25:03,240 --> 00:25:06,040 Speaker 1: quite narrow until we meet people from different cultures. And 457 00:25:06,040 --> 00:25:08,480 Speaker 1: that's why I love travel so much. And again I'm 458 00:25:08,600 --> 00:25:12,399 Speaker 1: so impressed by those statistics coming from Iran, which is 459 00:25:12,760 --> 00:25:15,840 Speaker 1: a country I think again, Australians don't know a lot 460 00:25:15,880 --> 00:25:17,840 Speaker 1: about Iran, and I think it's you know, we have 461 00:25:17,920 --> 00:25:22,560 Speaker 1: a very specific exposure to Iran through the news or 462 00:25:22,560 --> 00:25:24,720 Speaker 1: through the media, and the fact that then to hear 463 00:25:24,760 --> 00:25:27,879 Speaker 1: that it's a more progressive country in gender equality and science, 464 00:25:27,920 --> 00:25:31,399 Speaker 1: then Australia is quite shocking. So are there any unexpected 465 00:25:31,480 --> 00:25:35,199 Speaker 1: parts about Iran that might surprise us just culturally to know? 466 00:25:35,359 --> 00:25:36,920 Speaker 1: Obviously you haven't been able to go back in the 467 00:25:36,960 --> 00:25:39,440 Speaker 1: past two years, but do you go back and visit, 468 00:25:39,680 --> 00:25:40,399 Speaker 1: do you miss it? 469 00:25:40,800 --> 00:25:45,240 Speaker 3: Yeah, yeah, it's been quite a few years then yeah, yeah, Well, 470 00:25:45,280 --> 00:25:50,120 Speaker 3: I guess in Iran engineering is some sort of fair 471 00:25:51,200 --> 00:25:55,280 Speaker 3: rescue past way for women to show that they could 472 00:25:55,320 --> 00:25:59,480 Speaker 3: also be as good as men and even better. And honestly, 473 00:26:00,720 --> 00:26:03,199 Speaker 3: I mean my personal viewpoint is that there are a 474 00:26:03,280 --> 00:26:08,720 Speaker 3: number of engineering disciplines, at least if not many, that 475 00:26:08,960 --> 00:26:13,080 Speaker 3: women could actually add perform in these sort of disciplines. 476 00:26:13,680 --> 00:26:17,200 Speaker 3: I mean, as girls, women are always trying to pass 477 00:26:17,240 --> 00:26:21,440 Speaker 3: through the narrowest gates and that has short passed us 478 00:26:21,600 --> 00:26:28,240 Speaker 3: something somethingsdom So, yeah, strengths that maybe our male counterparts 479 00:26:28,400 --> 00:26:32,680 Speaker 3: don't have that. And yet I mean there are disciplines 480 00:26:32,680 --> 00:26:36,280 Speaker 3: such as, for example, in the automotive industry, you have 481 00:26:36,359 --> 00:26:41,040 Speaker 3: to be extremely organized, and yeah, I assume women could 482 00:26:41,040 --> 00:26:44,199 Speaker 3: shine in that industry as opposed to probably what the 483 00:26:44,200 --> 00:26:48,479 Speaker 3: common belief is that it's like masculine discipline. It suits 484 00:26:48,480 --> 00:26:52,720 Speaker 3: the boys the man. But yeah, we have certain qualifications 485 00:26:52,760 --> 00:26:57,480 Speaker 3: that probably makes us outperforming certain disciplines of engineering. 486 00:26:57,560 --> 00:27:01,639 Speaker 2: Yeah, yeah, the girls. Yeah. 487 00:27:01,840 --> 00:27:04,879 Speaker 1: Do you miss home or is Australia home? 488 00:27:04,920 --> 00:27:05,000 Speaker 3: Like? 489 00:27:05,040 --> 00:27:05,560 Speaker 2: It's interesting. 490 00:27:05,600 --> 00:27:07,720 Speaker 1: We've had one of the other fellows who I haven't 491 00:27:07,720 --> 00:27:11,320 Speaker 1: interviewed everyone yet, but Jauen was saying that Australia has 492 00:27:11,359 --> 00:27:14,800 Speaker 1: become home. I mean she left China not that long ago, 493 00:27:14,880 --> 00:27:18,480 Speaker 1: but her transition to thinking of this as home happened 494 00:27:18,480 --> 00:27:19,919 Speaker 1: really quickly, whereas for some people that. 495 00:27:20,000 --> 00:27:21,159 Speaker 2: Take, you know, a lot longer. 496 00:27:21,640 --> 00:27:24,480 Speaker 3: How do you feel, well, I definitely miss home, but 497 00:27:24,720 --> 00:27:29,960 Speaker 3: I definitely consider Australia as home as well. And I'd 498 00:27:30,000 --> 00:27:33,479 Speaker 3: say that Australia is the sort of country that there 499 00:27:33,560 --> 00:27:36,840 Speaker 3: is nothing that you cannot like about this country. It's 500 00:27:37,000 --> 00:27:40,280 Speaker 3: just the people are so nice. I've traveled a lot 501 00:27:40,320 --> 00:27:44,600 Speaker 3: because of my career, different conferences here and there, and 502 00:27:44,920 --> 00:27:47,719 Speaker 3: I mean Australia and people you just see them in 503 00:27:47,760 --> 00:27:51,159 Speaker 3: the street and everyone has a smile on their face. 504 00:27:51,920 --> 00:27:57,720 Speaker 3: I mean, yeah, I remember our first year or two 505 00:27:58,160 --> 00:28:01,480 Speaker 3: in Australia. My husband keep telling me that this country 506 00:28:01,520 --> 00:28:01,920 Speaker 3: is not real. 507 00:28:03,160 --> 00:28:12,399 Speaker 2: Really, that's so cute, that's so lovely. Oh my gosh. Oh. 508 00:28:12,640 --> 00:28:16,560 Speaker 1: Is there a motivational quote that you think that guided 509 00:28:16,600 --> 00:28:17,520 Speaker 1: you through your journey? 510 00:28:19,359 --> 00:28:22,360 Speaker 3: Motivational quote that's a difficult one. 511 00:28:22,480 --> 00:28:23,440 Speaker 2: Yeah. 512 00:28:23,760 --> 00:28:26,600 Speaker 1: I love quote, so I just use them for every situation, 513 00:28:26,800 --> 00:28:29,720 Speaker 1: but sometimes people like I don't really know. I don't 514 00:28:29,760 --> 00:28:31,760 Speaker 1: really have quotes. But if you do, is there one 515 00:28:31,800 --> 00:28:32,520 Speaker 1: that helped you? 516 00:28:32,560 --> 00:28:37,000 Speaker 3: Well, I guess I could think of something that my 517 00:28:37,080 --> 00:28:41,200 Speaker 3: husband actually once told me. So, we were friends when 518 00:28:41,200 --> 00:28:44,920 Speaker 3: I was doing my bachelor and then I was trying 519 00:28:44,960 --> 00:28:48,880 Speaker 3: to get into the best master's program in the country, 520 00:28:49,000 --> 00:28:52,960 Speaker 3: which was in Tehran University, and my husband was a 521 00:28:53,000 --> 00:28:56,680 Speaker 3: graduate of that university. And then he told me to 522 00:28:56,800 --> 00:29:03,240 Speaker 3: study hard so that you could in a university that 523 00:29:03,600 --> 00:29:11,320 Speaker 3: you could be able to breath freedom and power. So yeah, 524 00:29:11,640 --> 00:29:16,080 Speaker 3: and I guess, yeah, studying engineering in the best university 525 00:29:16,120 --> 00:29:20,640 Speaker 3: of the country. Yeah, I definitely felt that. I felt power, 526 00:29:20,960 --> 00:29:24,000 Speaker 3: I felt freedom, that I could make things happen, I 527 00:29:24,040 --> 00:29:25,800 Speaker 3: could change things for the better. 528 00:29:25,640 --> 00:29:26,960 Speaker 2: Which you absolutely are. 529 00:29:27,080 --> 00:29:31,000 Speaker 1: Again, I've I had goosebumps this whole entire conversation. That 530 00:29:31,120 --> 00:29:36,120 Speaker 1: is so beautiful. What an amazing, amazing quote that obviously 531 00:29:36,160 --> 00:29:39,080 Speaker 1: has guided you to be changing the world now and 532 00:29:39,120 --> 00:29:42,320 Speaker 1: having such incredible power. And I'm sure many young women 533 00:29:42,440 --> 00:29:45,680 Speaker 1: listening will be feeling very empowered to seize their yay 534 00:29:45,760 --> 00:29:48,360 Speaker 1: on their way into a career in science and engineering. 535 00:29:48,920 --> 00:29:53,240 Speaker 1: And lastly, do you have a we call them recommendations 536 00:29:53,280 --> 00:29:57,160 Speaker 1: of a movie or a book, or a TV show 537 00:29:57,360 --> 00:30:00,640 Speaker 1: or something that just made you happy that you joy 538 00:30:01,800 --> 00:30:04,360 Speaker 1: doesn't have to be about engineering either, just anything in 539 00:30:04,440 --> 00:30:05,920 Speaker 1: life that's made you really happy. 540 00:30:06,000 --> 00:30:07,200 Speaker 3: Could it be about engineering? 541 00:30:07,800 --> 00:30:08,400 Speaker 2: Absolutely? 542 00:30:08,440 --> 00:30:08,600 Speaker 3: Could? 543 00:30:08,960 --> 00:30:10,720 Speaker 1: I love how everything? I'm like, what do you miss 544 00:30:10,760 --> 00:30:13,800 Speaker 1: about Iran? Tell us what I've heard? It's a beautiful country. 545 00:30:14,240 --> 00:30:18,960 Speaker 2: Engineering in Iran. It's just like you live and breath. 546 00:30:19,000 --> 00:30:20,120 Speaker 2: It's beautiful. 547 00:30:21,120 --> 00:30:24,400 Speaker 3: Yeah, I guess, yeah, Well, I hope I don't sound 548 00:30:24,440 --> 00:30:27,960 Speaker 3: a bit outdated, but I'd say that some of my 549 00:30:28,120 --> 00:30:33,760 Speaker 3: favorite books are those of Jules Verne, so yeah, in 550 00:30:33,920 --> 00:30:38,000 Speaker 3: nineteenth century French author. I guess everyone at least my 551 00:30:38,120 --> 00:30:40,640 Speaker 3: generation knows him quite a fit. He's famous for his 552 00:30:40,800 --> 00:30:45,360 Speaker 3: revolutionary science fiction novels like to Travel from the Air 553 00:30:45,440 --> 00:30:47,400 Speaker 3: to the Moon, or five Weeks in the Balloon and 554 00:30:47,440 --> 00:30:50,520 Speaker 3: so on. So I'm not a big fan of science 555 00:30:50,600 --> 00:30:55,760 Speaker 3: fiction books and movies myself. But what I like about 556 00:30:56,000 --> 00:31:00,320 Speaker 3: Jewelerne's books is that he always argued that he's not 557 00:31:00,360 --> 00:31:04,000 Speaker 3: writing about science and technology, but he's writing about how 558 00:31:04,040 --> 00:31:08,520 Speaker 3: he may achieve his dreams by means of technological advances. 559 00:31:09,160 --> 00:31:12,200 Speaker 3: I love this quote from him. He once said that 560 00:31:12,840 --> 00:31:16,520 Speaker 3: I wrote Five Weeks in a Balloon not as a 561 00:31:16,560 --> 00:31:20,160 Speaker 3: story about ballooning, but as a story about Africa. I 562 00:31:20,240 --> 00:31:23,480 Speaker 3: always was greatly interested in geography, history, and travel, and 563 00:31:23,600 --> 00:31:27,520 Speaker 3: I wanted to give a romantic description of Africa. And 564 00:31:27,960 --> 00:31:30,880 Speaker 3: there was no means of taking the travelers of my 565 00:31:31,040 --> 00:31:34,120 Speaker 3: history to Africa otherwise than in a balloon. And that's 566 00:31:34,160 --> 00:31:37,400 Speaker 3: why I invented the idea of a balloon in my history. 567 00:31:38,000 --> 00:31:40,959 Speaker 3: So I that's what I love about engineering or stem 568 00:31:41,040 --> 00:31:44,040 Speaker 3: fields in general. They gave you the chance to not 569 00:31:44,160 --> 00:31:48,000 Speaker 3: only dream your dream, but also pursue your dream and 570 00:31:48,040 --> 00:31:50,760 Speaker 3: maybe leave your dream, whether it is to electrify the 571 00:31:50,800 --> 00:31:53,600 Speaker 3: world or to develop a vaccine to save lives. 572 00:31:54,360 --> 00:31:57,560 Speaker 1: So yeah, oh my gosh, I know I've used these 573 00:31:57,600 --> 00:32:00,000 Speaker 1: words over and over again, but you are so inspired 574 00:32:00,360 --> 00:32:02,360 Speaker 1: and I have goosebunce again. Oh my god, what a 575 00:32:02,360 --> 00:32:05,200 Speaker 1: beautiful way to finish, Mada. 576 00:32:05,200 --> 00:32:07,200 Speaker 2: Thank you so much for joining us. 577 00:32:07,360 --> 00:32:10,840 Speaker 1: I just am so inspired and cannot wait to continue 578 00:32:10,840 --> 00:32:13,120 Speaker 1: to follow your career in all the wonderful ways that 579 00:32:13,160 --> 00:32:14,720 Speaker 1: you're making our world a better place. 580 00:32:14,920 --> 00:32:17,120 Speaker 3: Thank you, sir, that's so kind. Thanks for having me. 581 00:32:17,280 --> 00:32:19,560 Speaker 1: I had this after every single guest, but I just 582 00:32:19,560 --> 00:32:22,080 Speaker 1: want to spend more time around doctor Jay Barney and 583 00:32:22,160 --> 00:32:25,440 Speaker 1: absorb some of her strength and intellect and class. And 584 00:32:25,640 --> 00:32:29,360 Speaker 1: what an amazing woman and such a fascinating area of expertise. 585 00:32:29,400 --> 00:32:31,720 Speaker 1: I can't imagine how many people listening have never even 586 00:32:31,800 --> 00:32:34,680 Speaker 1: thought about the job title a battery engineer. And how 587 00:32:34,680 --> 00:32:37,040 Speaker 1: can any young girl aspuy into a career she's never 588 00:32:37,040 --> 00:32:40,320 Speaker 1: even known to exist before. Our next guest is equally 589 00:32:40,360 --> 00:32:44,280 Speaker 1: as impressive, addressing environmental changes from a different angle, being 590 00:32:44,320 --> 00:32:46,560 Speaker 1: one of millions of us who wanted to be marine 591 00:32:46,600 --> 00:32:49,080 Speaker 1: biologists when we were younger to play with dolphins all day, 592 00:32:49,080 --> 00:32:51,040 Speaker 1: but then one of the few who actually went on 593 00:32:51,120 --> 00:32:54,440 Speaker 1: to become one. Doctor Kirsty Nash looks at how fishing 594 00:32:54,520 --> 00:32:58,120 Speaker 1: might maximize social and health outcomes through understanding the variation 595 00:32:58,240 --> 00:33:01,520 Speaker 1: in nutrition content among different piece of fish and how 596 00:33:01,600 --> 00:33:05,560 Speaker 1: environmental change will affect those food webs. I had no 597 00:33:05,680 --> 00:33:08,960 Speaker 1: idea that vitamin A deficiency is responsible for over six 598 00:33:09,120 --> 00:33:12,640 Speaker 1: hundred thousand premature deaths each year globally and up to 599 00:33:12,760 --> 00:33:18,320 Speaker 1: five hundred thousand cases of preventable blindness in children. Nor 600 00:33:18,400 --> 00:33:20,400 Speaker 1: did I ever consider the link between a change in 601 00:33:20,480 --> 00:33:23,959 Speaker 1: climate nutrient content in our food and therefore whether our 602 00:33:24,040 --> 00:33:26,760 Speaker 1: nutrient needs can be met by the planet, even though 603 00:33:26,800 --> 00:33:31,200 Speaker 1: it's so obvious. Doctor Kirsty also shares some great insights 604 00:33:31,560 --> 00:33:33,720 Speaker 1: on the barriers to women in science when it comes 605 00:33:33,800 --> 00:33:37,280 Speaker 1: to motherhood, even creating her own online platform for parents 606 00:33:37,280 --> 00:33:41,360 Speaker 1: in academia anyone else getting a total motivational kick up 607 00:33:41,360 --> 00:33:46,760 Speaker 1: the butt from these women Introducing doctor Kirsty Nash. Kirsty, 608 00:33:46,920 --> 00:33:49,960 Speaker 1: welcome to the show. Thank you, thank you so much 609 00:33:49,960 --> 00:33:52,800 Speaker 1: for joining us. I'm so so excited to get into 610 00:33:52,960 --> 00:33:55,440 Speaker 1: everything that you're doing to impact the world for the better. 611 00:33:55,480 --> 00:33:58,200 Speaker 1: It's one of those areas that, once I started reading 612 00:33:58,280 --> 00:34:00,240 Speaker 1: into it, I just thought, oh my gosh, that makes 613 00:34:00,280 --> 00:34:02,200 Speaker 1: so much sense. But how do none of us have 614 00:34:02,280 --> 00:34:03,560 Speaker 1: any idea about it. 615 00:34:05,400 --> 00:34:05,600 Speaker 3: Yeah. 616 00:34:05,720 --> 00:34:07,440 Speaker 4: I think that's the thing about science is a lot 617 00:34:07,480 --> 00:34:09,759 Speaker 4: of it goes on behind closed doors and you don't 618 00:34:09,800 --> 00:34:12,839 Speaker 4: necessarily know, you know, all the interesting things that are 619 00:34:12,880 --> 00:34:13,600 Speaker 4: being learned about. 620 00:34:14,080 --> 00:34:14,360 Speaker 3: Yeah. 621 00:34:14,400 --> 00:34:16,960 Speaker 1: Absolutely, And even just in doing this series, I've sort 622 00:34:16,960 --> 00:34:20,160 Speaker 1: of got so much motivation and fascination that I kind 623 00:34:20,160 --> 00:34:21,920 Speaker 1: of wish I'd become a scientist. I'm like, this, is 624 00:34:21,960 --> 00:34:24,080 Speaker 1: it too late for me to go and dive into 625 00:34:24,080 --> 00:34:26,799 Speaker 1: stem myself, which is exactly a purpose of this show. 626 00:34:26,800 --> 00:34:29,200 Speaker 2: I guess I don't think it's ever too late. 627 00:34:29,200 --> 00:34:31,880 Speaker 4: And I think that's the great thing about you know, 628 00:34:32,480 --> 00:34:34,960 Speaker 4: living in this time, you can change career. You know, 629 00:34:35,239 --> 00:34:37,400 Speaker 4: it's never too late to decide that this is your 630 00:34:37,440 --> 00:34:39,040 Speaker 4: dream now and you want to try something new. 631 00:34:39,239 --> 00:34:41,600 Speaker 1: Oh that's so true And something I talk about so 632 00:34:41,800 --> 00:34:44,640 Speaker 1: much on the show, the nonlinear nature of people's pathways 633 00:34:44,640 --> 00:34:46,520 Speaker 1: to where they end up. I think we have such 634 00:34:46,560 --> 00:34:49,080 Speaker 1: a narrow conception of careers when we're younger, and there's 635 00:34:49,120 --> 00:34:51,720 Speaker 1: so much pressure to figure that out straight out of school. 636 00:34:51,719 --> 00:34:55,440 Speaker 1: But nobody's journey happens in a really straight. 637 00:34:55,120 --> 00:34:56,000 Speaker 2: Line kind of way. 638 00:34:56,120 --> 00:34:58,520 Speaker 1: So I definitely want to chat through your own pathway 639 00:34:58,520 --> 00:35:00,359 Speaker 1: into science. And I'm sure, all that twis in terms 640 00:35:00,400 --> 00:35:02,600 Speaker 1: that took you to get there. But to begin with, 641 00:35:02,760 --> 00:35:05,520 Speaker 1: can you give us a lay person's explanation of what 642 00:35:05,560 --> 00:35:08,080 Speaker 1: you're working on? Now, it's impact for the world, so 643 00:35:08,120 --> 00:35:11,359 Speaker 1: we can get a lay of the land. Micronutrient deficiencies 644 00:35:11,400 --> 00:35:13,920 Speaker 1: is a huge health concern and something maybe some of 645 00:35:14,000 --> 00:35:16,279 Speaker 1: us are considered on an individual level in terms of 646 00:35:16,280 --> 00:35:18,600 Speaker 1: our day to day diet, but probably not on a 647 00:35:18,680 --> 00:35:22,040 Speaker 1: broader global scale. So tell us what you're doing with 648 00:35:22,560 --> 00:35:26,720 Speaker 1: seafood and fishing and how it relates to climate change. 649 00:35:26,840 --> 00:35:30,160 Speaker 4: Yeah, so that's when my research sits between climate change, 650 00:35:30,280 --> 00:35:35,000 Speaker 4: human nutrition, and coral reef fisheries. And so basically the 651 00:35:35,040 --> 00:35:36,719 Speaker 4: soft of scale of the problem is that a lack 652 00:35:36,760 --> 00:35:41,200 Speaker 4: of essential micronutrients, so that's things like calcium, zinc, vitamin 653 00:35:41,239 --> 00:35:44,000 Speaker 4: a is a massive global problem. So it affects about 654 00:35:44,000 --> 00:35:49,399 Speaker 4: two point five billion people worldwide. Yeah, so it's a massive, yeah, 655 00:35:49,480 --> 00:35:53,719 Speaker 4: massive problem, massive impact, and the impact of those deficiencies 656 00:35:53,800 --> 00:35:56,360 Speaker 4: is significant. So just if we take vitamina as an example, 657 00:35:56,920 --> 00:36:00,960 Speaker 4: viamin a deficiencies have been linked to about five hundred 658 00:36:01,080 --> 00:36:06,000 Speaker 4: thousand cases of preventable child blindness each year. Oh my gosh, yeah. 659 00:36:06,040 --> 00:36:07,920 Speaker 4: So you think, oh, well, I don't have enough of these, 660 00:36:07,920 --> 00:36:10,359 Speaker 4: and you go and take a vitamin tablet and you think, 661 00:36:10,400 --> 00:36:12,560 Speaker 4: oh that's you know, I've solved problem. But actually the 662 00:36:12,560 --> 00:36:18,279 Speaker 4: scale of it is really significant, and seafood is an 663 00:36:18,280 --> 00:36:20,759 Speaker 4: important part of the diet of about a billion people worldwide. 664 00:36:20,920 --> 00:36:23,839 Speaker 4: Many of those people live in developing countries, including those 665 00:36:23,880 --> 00:36:27,560 Speaker 4: boarded by coral reefs. And the great thing is that fish, 666 00:36:27,680 --> 00:36:30,399 Speaker 4: including those caught in coray fisheries, are a great source 667 00:36:30,440 --> 00:36:32,960 Speaker 4: of a lot of these essential micronutrients, so things like 668 00:36:33,000 --> 00:36:36,719 Speaker 4: calcium and se confitiment a. The problem is we don't 669 00:36:36,719 --> 00:36:39,840 Speaker 4: currently know how environmental change will impact on this supply 670 00:36:39,880 --> 00:36:42,200 Speaker 4: of nutrients we get from fish and from coray fisheries. 671 00:36:42,560 --> 00:36:44,640 Speaker 4: So that's where my research comes in. Is we're looking 672 00:36:44,680 --> 00:36:47,879 Speaker 4: at what nutrients were getting from cray fisheries today and 673 00:36:48,239 --> 00:36:51,320 Speaker 4: how that might change in the future with a changing climate. 674 00:36:51,960 --> 00:36:53,920 Speaker 4: And the reason that's important is that if we can 675 00:36:54,200 --> 00:36:56,280 Speaker 4: find this out, it really has the potential to IMpower 676 00:36:56,360 --> 00:37:00,360 Speaker 4: communities and governments to manage their fisheries and maximum the 677 00:37:00,360 --> 00:37:03,399 Speaker 4: benefits they're getting from these resources, both today but also 678 00:37:03,600 --> 00:37:05,800 Speaker 4: as the climate changes into the future. 679 00:37:05,840 --> 00:37:08,239 Speaker 1: Oh my gosh, it makes me so excited to hear 680 00:37:08,320 --> 00:37:11,840 Speaker 1: about career paths that you just don't in your normal 681 00:37:11,920 --> 00:37:13,840 Speaker 1: day to day life. You kind of take for granted 682 00:37:13,920 --> 00:37:16,200 Speaker 1: so many things like access to nutrients in food. The 683 00:37:16,280 --> 00:37:19,200 Speaker 1: nutrient profiles are different foods. You can google the profiles 684 00:37:19,239 --> 00:37:21,120 Speaker 1: of what you're eating, but no one really Like when 685 00:37:21,160 --> 00:37:23,000 Speaker 1: I think of climate change, I don't think straight away 686 00:37:23,000 --> 00:37:27,000 Speaker 1: about our global human deficiencies in certain vitamins. 687 00:37:27,040 --> 00:37:28,359 Speaker 2: I just wouldn't even connect that. 688 00:37:28,440 --> 00:37:31,080 Speaker 1: So the fact that there's a whole career in figuring 689 00:37:31,120 --> 00:37:33,239 Speaker 1: that out and forecasting that into the future to kind 690 00:37:33,280 --> 00:37:35,440 Speaker 1: of solve those problems, I mean, we don't even know 691 00:37:35,440 --> 00:37:37,600 Speaker 1: that you're the hero we all need, which is absolutely 692 00:37:37,640 --> 00:37:39,040 Speaker 1: amazing to hear about today. 693 00:37:41,160 --> 00:37:43,319 Speaker 4: What I find excitingly about this research is because it's 694 00:37:43,320 --> 00:37:46,560 Speaker 4: so indisciplinary. You know, it's not me just sitting in 695 00:37:46,640 --> 00:37:49,479 Speaker 4: a room on my own. It's really bringing together people 696 00:37:49,520 --> 00:37:51,960 Speaker 4: who work in human nutrition, people who work in climate change. 697 00:37:52,040 --> 00:37:55,160 Speaker 4: My background is coryphocology, so I spend a lot of 698 00:37:55,160 --> 00:37:59,440 Speaker 4: time following fish around underwater and understanding how fish interact 699 00:37:59,440 --> 00:38:02,120 Speaker 4: with their environ and so to do this side project, 700 00:38:02,360 --> 00:38:04,040 Speaker 4: you know, you've really got to bring together a whole 701 00:38:04,120 --> 00:38:05,919 Speaker 4: range of different people who have all sorts of different 702 00:38:05,960 --> 00:38:08,440 Speaker 4: expertise and lean on that expertise to be able to 703 00:38:08,440 --> 00:38:09,400 Speaker 4: answer this sort of question. 704 00:38:09,600 --> 00:38:10,840 Speaker 1: Yeah, and I think that's the thing a lot of 705 00:38:10,880 --> 00:38:13,279 Speaker 1: people don't understand and why it's so exciting to get 706 00:38:13,320 --> 00:38:16,480 Speaker 1: girls in schools that's sort of you know, understanding or 707 00:38:16,560 --> 00:38:19,239 Speaker 1: visualizing their futures, to get visibility of these kind of 708 00:38:19,280 --> 00:38:22,680 Speaker 1: intersections between disciplines, because again, I think we silo like 709 00:38:22,680 --> 00:38:25,360 Speaker 1: a science career is in a lab with test tubes, 710 00:38:25,400 --> 00:38:27,440 Speaker 1: and you know, if you were doing fish, you'd be 711 00:38:27,560 --> 00:38:30,520 Speaker 1: just looking at only fish that you couldn't merge climate 712 00:38:30,600 --> 00:38:33,840 Speaker 1: change and coral. You know, it's so exciting to be 713 00:38:33,880 --> 00:38:36,000 Speaker 1: able to expose people to the different ways you can 714 00:38:36,360 --> 00:38:38,279 Speaker 1: start off in one thing and end up touching lots 715 00:38:38,280 --> 00:38:42,040 Speaker 1: of different industries and areas without even having planned that. 716 00:38:42,440 --> 00:38:44,719 Speaker 1: And on top of everything you're already doing, I read 717 00:38:44,760 --> 00:38:47,560 Speaker 1: that there's another project you're working on in a different area, 718 00:38:47,640 --> 00:38:50,400 Speaker 1: a free resource hub called academic Life. It's an online 719 00:38:50,400 --> 00:38:54,720 Speaker 1: platform empowering parents in academia aunt balance work with caring responsibilities. 720 00:38:54,760 --> 00:38:56,919 Speaker 1: So lots of balls in the air tell us about that. 721 00:38:57,480 --> 00:39:01,440 Speaker 4: So the online platform is sort So I moved down 722 00:39:01,480 --> 00:39:05,040 Speaker 4: to Tasmania to start my current job, and then I 723 00:39:05,080 --> 00:39:07,640 Speaker 4: got pregnant and I had a baby, and you know, 724 00:39:07,680 --> 00:39:09,520 Speaker 4: we were away from friends and family, and my family's 725 00:39:09,520 --> 00:39:11,440 Speaker 4: in the UK, my husband's family is in the US. 726 00:39:11,719 --> 00:39:13,600 Speaker 4: We didn't know a lot of people here and had 727 00:39:13,960 --> 00:39:16,480 Speaker 4: quite a few struggles after I'd had my baby and 728 00:39:16,520 --> 00:39:18,960 Speaker 4: I was taking time off, and then I got diagnosed 729 00:39:19,000 --> 00:39:23,120 Speaker 4: with post natal depression. And I was so lucky with 730 00:39:23,160 --> 00:39:25,839 Speaker 4: the help that I got from people and colleagues here 731 00:39:26,360 --> 00:39:28,920 Speaker 4: and from the local health services, and then talking to 732 00:39:28,960 --> 00:39:31,680 Speaker 4: people working at other universities around the world, I realized 733 00:39:32,000 --> 00:39:34,200 Speaker 4: that actually a lot of people don't get that help. 734 00:39:34,440 --> 00:39:37,120 Speaker 4: You know, our job, we move a lot for our job, 735 00:39:37,160 --> 00:39:39,400 Speaker 4: and so people tend to be away from their support 736 00:39:39,440 --> 00:39:43,279 Speaker 4: networks and they don't necessarily have access to people who 737 00:39:43,280 --> 00:39:46,160 Speaker 4: can help them through some of these challenging times. And 738 00:39:46,680 --> 00:39:48,879 Speaker 4: I found a lot of resources online that were really 739 00:39:48,880 --> 00:39:51,799 Speaker 4: helpful to me, and I thought, well, you know, as 740 00:39:51,840 --> 00:39:53,200 Speaker 4: a parent, you don't have a lot of time to 741 00:39:53,200 --> 00:39:55,400 Speaker 4: find these sorts of things, and maybe I could build 742 00:39:55,400 --> 00:39:58,200 Speaker 4: a resource that was online and free that people could 743 00:39:58,200 --> 00:40:00,880 Speaker 4: then access a lot of this help even if they 744 00:40:00,880 --> 00:40:02,719 Speaker 4: don't have it in their local area, you know, they 745 00:40:02,719 --> 00:40:05,399 Speaker 4: could find their village online and they could find other 746 00:40:05,440 --> 00:40:07,759 Speaker 4: people who are going through similar things and get that 747 00:40:07,840 --> 00:40:11,120 Speaker 4: advice and get that support. And so this platform Academic 748 00:40:11,160 --> 00:40:14,360 Speaker 4: Life is all about that. It's about finding your online village. 749 00:40:14,440 --> 00:40:16,160 Speaker 2: Oh my gosh, that's so wonderful. 750 00:40:16,200 --> 00:40:19,600 Speaker 1: We call it finding your neighborhood at CCA, like finding 751 00:40:19,600 --> 00:40:22,640 Speaker 1: your tribe of people who really can you, empower you 752 00:40:22,680 --> 00:40:24,280 Speaker 1: and support you through different experiences. 753 00:40:24,320 --> 00:40:25,000 Speaker 2: And I think it's. 754 00:40:24,880 --> 00:40:29,839 Speaker 1: Really wonderful that it's targeted specifically at academia balancing work 755 00:40:29,880 --> 00:40:33,120 Speaker 1: and caring responsibilities because it's such a specific area that 756 00:40:33,160 --> 00:40:35,920 Speaker 1: has its own needs and you've got different travel requirements, 757 00:40:35,960 --> 00:40:39,120 Speaker 1: Like it's so important to be around people who understand 758 00:40:39,360 --> 00:40:42,520 Speaker 1: the things you're going through. And we have spoken in 759 00:40:42,520 --> 00:40:44,640 Speaker 1: a couple of these episodes about the fact that for 760 00:40:44,680 --> 00:40:46,640 Speaker 1: women in science that can be one of the really 761 00:40:46,640 --> 00:40:49,160 Speaker 1: difficult things. That the research world is moving at such 762 00:40:49,160 --> 00:40:51,160 Speaker 1: a fast pace that even stopping to have children at 763 00:40:51,160 --> 00:40:53,279 Speaker 1: all is kind of a challenge. So to have a 764 00:40:53,400 --> 00:40:57,280 Speaker 1: community of people who understand those niche experiences, can imagine 765 00:40:57,280 --> 00:40:59,920 Speaker 1: that the support would just be immeasurably valuable. 766 00:41:00,760 --> 00:41:01,839 Speaker 2: So can we go. 767 00:41:01,920 --> 00:41:03,840 Speaker 1: Back to the beginning to kind of trace how you 768 00:41:03,960 --> 00:41:07,120 Speaker 1: originally became interested in that, and also go through the 769 00:41:07,160 --> 00:41:09,799 Speaker 1: process of what spurred the move to Tazzi and how 770 00:41:09,840 --> 00:41:12,600 Speaker 1: you ended up here, and just trace through all the 771 00:41:12,640 --> 00:41:15,319 Speaker 1: different ways that your life has led you to where 772 00:41:15,360 --> 00:41:18,480 Speaker 1: you are today, particularly how you discovered that the job 773 00:41:18,520 --> 00:41:20,200 Speaker 1: you're in now was actually possible. 774 00:41:20,239 --> 00:41:22,000 Speaker 4: So I guess when I was eleven, I went to 775 00:41:22,040 --> 00:41:24,640 Speaker 4: the ECOT Center in the US and we saw this 776 00:41:24,719 --> 00:41:27,200 Speaker 4: guy diving in a tank and I said to my 777 00:41:27,239 --> 00:41:29,080 Speaker 4: parents that's what I want to do in my life. 778 00:41:29,120 --> 00:41:31,280 Speaker 4: And my mum was like, yeah, yeah, yeah, sure, whatever, 779 00:41:31,760 --> 00:41:35,760 Speaker 4: you know, eleven year old telling you this. And then 780 00:41:36,239 --> 00:41:38,440 Speaker 4: we went home and I found this book on my parents' 781 00:41:38,440 --> 00:41:42,640 Speaker 4: bookshelf which was called Under the Red Sea, and it's 782 00:41:42,840 --> 00:41:46,560 Speaker 4: primarily about this guy, Hans Hass and all the diving 783 00:41:46,600 --> 00:41:48,560 Speaker 4: he did in the nineteen fifties in the Red Sea. 784 00:41:48,920 --> 00:41:52,560 Speaker 4: But in the book there's stuff about his wife, who 785 00:41:52,719 --> 00:41:54,840 Speaker 4: had been his secretary and then became his wife and 786 00:41:54,880 --> 00:41:57,759 Speaker 4: she became one of his team of underwater photographers. But 787 00:41:57,800 --> 00:42:00,000 Speaker 4: also because he had some TV shows fronting the show 788 00:42:00,760 --> 00:42:02,640 Speaker 4: and I was like, oh, so you know, there are 789 00:42:02,680 --> 00:42:05,680 Speaker 4: women out there doing this, and I just found this 790 00:42:05,760 --> 00:42:07,839 Speaker 4: lady so inspiring and I was like, oh, this is 791 00:42:08,000 --> 00:42:10,640 Speaker 4: maybe not just a pipe dream of an eleven year old, 792 00:42:10,880 --> 00:42:14,520 Speaker 4: this is something that I could do. And I kind 793 00:42:14,560 --> 00:42:16,960 Speaker 4: of held onto that, and at school people were like, 794 00:42:16,960 --> 00:42:18,319 Speaker 4: are you sure this is what you want to do? 795 00:42:18,400 --> 00:42:20,160 Speaker 4: You know, you surely do you want to really want 796 00:42:20,160 --> 00:42:23,799 Speaker 4: to specialize so early? And I was like, yeah, I'm 797 00:42:23,840 --> 00:42:26,040 Speaker 4: you know, I'm determined for this. I'm not going to 798 00:42:26,080 --> 00:42:28,520 Speaker 4: give up on this. And so I went to university 799 00:42:28,560 --> 00:42:31,520 Speaker 4: and did oceanography, and then I came to Australia, to 800 00:42:31,520 --> 00:42:36,400 Speaker 4: Townsville and did a master's in tropical marine ecology. And 801 00:42:36,480 --> 00:42:40,239 Speaker 4: that's when I sort of my academic career went off 802 00:42:40,239 --> 00:42:42,320 Speaker 4: on a bit of a tangent. So I then spent 803 00:42:42,360 --> 00:42:46,600 Speaker 4: about seven years working on marine conservation projects, teaching people 804 00:42:46,640 --> 00:42:49,360 Speaker 4: how to do underwater surveys. And then I worked on 805 00:42:49,400 --> 00:42:53,120 Speaker 4: a school ship in the Caribbean, teaching first year undergrads 806 00:42:53,120 --> 00:42:56,479 Speaker 4: from the US how to dive and intro to marine 807 00:42:56,520 --> 00:43:01,160 Speaker 4: biology and intro to oceanography. And I think, you know, 808 00:43:01,239 --> 00:43:02,840 Speaker 4: in my mind at that stage, that's what I was 809 00:43:02,880 --> 00:43:04,359 Speaker 4: going to do. I was going to stay very much 810 00:43:04,360 --> 00:43:06,000 Speaker 4: in the field. I was going to teach diving. I 811 00:43:06,040 --> 00:43:08,920 Speaker 4: was going to do these sort of conservation project type things. 812 00:43:09,400 --> 00:43:11,640 Speaker 4: And then I had to come back to Australia to 813 00:43:11,680 --> 00:43:15,000 Speaker 4: keep my residency. So I came back and when I 814 00:43:15,040 --> 00:43:18,320 Speaker 4: arrived back in Townsville, it some friends. Randomly someone was 815 00:43:18,360 --> 00:43:21,120 Speaker 4: advertising for a research system for six months and I 816 00:43:21,160 --> 00:43:24,440 Speaker 4: was like, I could apply for that. When I went 817 00:43:24,440 --> 00:43:27,600 Speaker 4: for the interview, the guy interviewing me, I could see 818 00:43:27,640 --> 00:43:29,919 Speaker 4: him thinking, all this girl has done is wafted around 819 00:43:29,960 --> 00:43:32,520 Speaker 4: the world in the tropics for the last six or 820 00:43:32,520 --> 00:43:33,160 Speaker 4: seven years. 821 00:43:33,320 --> 00:43:34,400 Speaker 2: It's still long vacation. 822 00:43:35,080 --> 00:43:39,000 Speaker 4: Yeah, can she really do this? And anyway, I got 823 00:43:39,000 --> 00:43:41,120 Speaker 4: the job, but I think he was pretty uncertain about this. 824 00:43:41,200 --> 00:43:43,839 Speaker 4: And I remember my first meeting with him. We sat down, 825 00:43:43,880 --> 00:43:45,719 Speaker 4: he said this is what I wanted to do, and 826 00:43:45,719 --> 00:43:48,200 Speaker 4: then he left the office and I spent the next 827 00:43:48,200 --> 00:43:50,719 Speaker 4: hour looking on Wikipedia all the things that he just 828 00:43:50,760 --> 00:43:53,239 Speaker 4: asked me to do, because I had no idea what 829 00:43:53,480 --> 00:43:55,600 Speaker 4: he died he just told me to do. I was like, 830 00:43:55,880 --> 00:43:58,520 Speaker 4: way out of my league. Then, I think this is 831 00:43:58,560 --> 00:44:00,920 Speaker 4: the thing that I find about answer is that I 832 00:44:00,920 --> 00:44:03,279 Speaker 4: think at school you're taught it's all about knowledge but 833 00:44:03,360 --> 00:44:05,800 Speaker 4: I think I've learned that actually science is all about 834 00:44:06,320 --> 00:44:11,120 Speaker 4: experimenting and using your initiative and knowing how to look 835 00:44:11,160 --> 00:44:13,640 Speaker 4: things up and knowing you to ask for help. And 836 00:44:14,120 --> 00:44:15,960 Speaker 4: so I stayed in that job for six months and 837 00:44:15,960 --> 00:44:18,680 Speaker 4: then it got extended for another year, and then he said, 838 00:44:18,680 --> 00:44:20,840 Speaker 4: do you want to do a PhD? And then he 839 00:44:20,880 --> 00:44:24,120 Speaker 4: employed me as a post doc and then he moved 840 00:44:24,120 --> 00:44:25,719 Speaker 4: back to England and I was like, oh, I'm going 841 00:44:25,760 --> 00:44:28,319 Speaker 4: to fend for myself now, and this great job came 842 00:44:28,400 --> 00:44:31,200 Speaker 4: up in Tazzy and so we moved down here. So 843 00:44:31,440 --> 00:44:34,400 Speaker 4: none of it has been really planned other than just 844 00:44:34,440 --> 00:44:37,240 Speaker 4: sort of following my passion, I think, and in following 845 00:44:37,280 --> 00:44:40,520 Speaker 4: my passion, I've ended up here. But it's I guess, 846 00:44:40,560 --> 00:44:44,400 Speaker 4: just grabbing opportunities as they came up, rather than feeling like, 847 00:44:44,520 --> 00:44:46,120 Speaker 4: you know, when I left school, I needed to know 848 00:44:46,160 --> 00:44:47,680 Speaker 4: where I was going to go and that I was 849 00:44:47,719 --> 00:44:49,480 Speaker 4: going to be an academic and a researcher. And this 850 00:44:49,600 --> 00:44:51,319 Speaker 4: is you know, I had it all sorted in my 851 00:44:51,360 --> 00:44:53,759 Speaker 4: head because I didn't do my PhD until I was 852 00:44:54,719 --> 00:44:57,000 Speaker 4: you know, thirty two thirty three, and I'd done all 853 00:44:57,000 --> 00:44:58,200 Speaker 4: these other things beforehand. 854 00:44:58,239 --> 00:45:00,319 Speaker 1: Oh my gosh, if I could give that sound to 855 00:45:00,400 --> 00:45:02,680 Speaker 1: my younger self when I was batching in school, like. 856 00:45:02,640 --> 00:45:05,240 Speaker 2: It would have changed my whole holiday life. 857 00:45:05,480 --> 00:45:08,319 Speaker 1: I think it's so important for younger people to hear 858 00:45:08,400 --> 00:45:11,360 Speaker 1: that you know these pathways they're not planned with a 859 00:45:11,400 --> 00:45:14,839 Speaker 1: tenue plan in advance, and they do often like there's 860 00:45:14,840 --> 00:45:16,960 Speaker 1: so many sliding doors moments where it's just that you 861 00:45:17,000 --> 00:45:18,800 Speaker 1: happen to see something in a newspaper and you just 862 00:45:18,800 --> 00:45:20,640 Speaker 1: put your name down, or you just meet someone who 863 00:45:20,719 --> 00:45:22,160 Speaker 1: exposes you to a different world. 864 00:45:22,200 --> 00:45:23,880 Speaker 2: And I think one of the things. 865 00:45:23,719 --> 00:45:26,520 Speaker 1: That I loved about what you said about that science 866 00:45:26,560 --> 00:45:30,040 Speaker 1: isn't necessarily about knowledge. I think you think it's all 867 00:45:30,080 --> 00:45:32,840 Speaker 1: about having the answers. But I've noticed that scientists are 868 00:45:32,880 --> 00:45:35,400 Speaker 1: all just really good at asking the right questions. They 869 00:45:35,400 --> 00:45:37,279 Speaker 1: don't always know the answer straight away. But if you've 870 00:45:37,280 --> 00:45:40,920 Speaker 1: ever found yourself just asking life's great questions and filling gaps, 871 00:45:41,360 --> 00:45:44,000 Speaker 1: even with you know, the academic life platform, it was 872 00:45:44,040 --> 00:45:46,200 Speaker 1: you finding a gap and asking the right question about 873 00:45:46,239 --> 00:45:48,480 Speaker 1: a need, whether or not you knew that you could 874 00:45:48,480 --> 00:45:51,120 Speaker 1: actually fill that gap yourself, and something else that came up. 875 00:45:51,120 --> 00:45:53,120 Speaker 1: And I think I misquote this every single time I 876 00:45:53,160 --> 00:45:55,520 Speaker 1: refer to it. But one of the things were women 877 00:45:55,600 --> 00:45:58,560 Speaker 1: in general, but I imagine in science and STEM particularly 878 00:45:58,560 --> 00:46:02,200 Speaker 1: because there are fewer women in you know, emerging into 879 00:46:02,239 --> 00:46:05,000 Speaker 1: these careers. I hope that's changing, but is that you know, 880 00:46:05,080 --> 00:46:08,040 Speaker 1: often we will There's a study on women and men 881 00:46:08,120 --> 00:46:11,520 Speaker 1: applying for promotions in a corporate context, and men would 882 00:46:11,520 --> 00:46:13,920 Speaker 1: apply when they had sixty percent of the criteria, knowing 883 00:46:14,120 --> 00:46:16,600 Speaker 1: logically they could figure out the forty percent. And I 884 00:46:16,719 --> 00:46:19,279 Speaker 1: love that you took that approach and just applied for 885 00:46:19,320 --> 00:46:21,280 Speaker 1: the job and then google the rest because you've obviously 886 00:46:21,320 --> 00:46:23,520 Speaker 1: been able to figure it out. But women will so 887 00:46:23,680 --> 00:46:25,920 Speaker 1: often wait until they have one hundred to one hundred 888 00:46:25,960 --> 00:46:29,120 Speaker 1: and twenty percent of the criteria. So even if there 889 00:46:29,120 --> 00:46:33,160 Speaker 1: weren't any kind of gender inequalities institution equalities aside, we 890 00:46:33,280 --> 00:46:36,080 Speaker 1: miss out on the opportunities because of timing. So I 891 00:46:36,160 --> 00:46:38,719 Speaker 1: love that you just figured I can figure this out 892 00:46:38,719 --> 00:46:40,359 Speaker 1: as I go, because you always can. 893 00:46:40,520 --> 00:46:41,960 Speaker 4: And I think actually one of the things that I 894 00:46:42,040 --> 00:46:44,239 Speaker 4: found funny is when I started my PhD. About a 895 00:46:44,280 --> 00:46:46,520 Speaker 4: week after I started my PhD, and I was like, Oh, 896 00:46:46,600 --> 00:46:48,760 Speaker 4: this is so much to learn and I don't know anything, 897 00:46:49,280 --> 00:46:52,000 Speaker 4: and someone sent me this article that was in a 898 00:46:52,000 --> 00:46:56,200 Speaker 4: published in a scientific journal called the Importance of Stupidity 899 00:46:56,239 --> 00:47:00,000 Speaker 4: in Scientific Research. I mean, this article is all about 900 00:47:00,080 --> 00:47:03,120 Speaker 4: out If you know the answers about what you're researching, 901 00:47:03,840 --> 00:47:06,600 Speaker 4: then you're doing something that someone's already done. If you 902 00:47:06,719 --> 00:47:10,040 Speaker 4: feel stupid and a bit lost and you're uncertain, then 903 00:47:10,080 --> 00:47:12,600 Speaker 4: actually that's the sweet spot. That's where you want to be, 904 00:47:12,600 --> 00:47:15,680 Speaker 4: because that's when you're asking a question that is new 905 00:47:15,800 --> 00:47:18,400 Speaker 4: and exciting and people don't know the answer to and 906 00:47:18,400 --> 00:47:21,000 Speaker 4: could actually make a difference. And so if you don't 907 00:47:21,000 --> 00:47:23,439 Speaker 4: feel stupid some of the time, then you're not doing 908 00:47:23,440 --> 00:47:23,799 Speaker 4: it right. 909 00:47:24,600 --> 00:47:27,799 Speaker 2: I love that. That's such a good one. 910 00:47:28,360 --> 00:47:31,759 Speaker 1: So in your journey, did you find that you encountered 911 00:47:31,880 --> 00:47:35,480 Speaker 1: any particular challenges as a woman forging a career in 912 00:47:35,480 --> 00:47:38,480 Speaker 1: this industry, because I know they are industries where I 913 00:47:38,520 --> 00:47:41,040 Speaker 1: think women are still a bit in the minority. A 914 00:47:41,040 --> 00:47:43,200 Speaker 1: lot of us, you know, went through school without much 915 00:47:43,200 --> 00:47:46,960 Speaker 1: exposure to females and scientific careers in things like engineering. 916 00:47:47,000 --> 00:47:50,520 Speaker 1: We have this idea of equating to working into construction, 917 00:47:50,680 --> 00:47:52,799 Speaker 1: you know. But this is you know, showing that there 918 00:47:52,800 --> 00:47:54,840 Speaker 1: are so many women who have forged successful careers. So 919 00:47:54,840 --> 00:47:56,960 Speaker 1: what are some of the barriers that you have faced, 920 00:47:57,440 --> 00:47:59,319 Speaker 1: and the advice that you have for any women who 921 00:47:59,400 --> 00:48:01,280 Speaker 1: are aspiring to a career in science. 922 00:48:01,520 --> 00:48:04,000 Speaker 4: I think a lot of it is, as you say, 923 00:48:04,120 --> 00:48:07,359 Speaker 4: not seeing people in those roles. I think that can 924 00:48:07,400 --> 00:48:10,040 Speaker 4: be very confronting, where you see something you want to 925 00:48:10,239 --> 00:48:11,840 Speaker 4: you know, you want to do something, but you're like, 926 00:48:12,239 --> 00:48:15,000 Speaker 4: is this possible because I can't see someone else who 927 00:48:15,480 --> 00:48:19,000 Speaker 4: is like me in that role, And so it's the 928 00:48:19,080 --> 00:48:23,160 Speaker 4: uncertainty about am I going to be right for this, 929 00:48:23,280 --> 00:48:24,400 Speaker 4: or am I going to be enough, or am I 930 00:48:24,440 --> 00:48:27,640 Speaker 4: going to fit in or whatever. And I think something 931 00:48:27,640 --> 00:48:31,480 Speaker 4: that I have found really helpful is having great female 932 00:48:31,560 --> 00:48:35,840 Speaker 4: mentors along the way, people who are not necessarily in 933 00:48:35,840 --> 00:48:40,520 Speaker 4: my field, but have worked in similar environments. So you know, 934 00:48:40,560 --> 00:48:41,960 Speaker 4: you may want to be an engineer. You don't need 935 00:48:42,000 --> 00:48:44,359 Speaker 4: to find an engineer mentor, but maybe you find someone 936 00:48:44,400 --> 00:48:47,920 Speaker 4: who works in another SCIENTI field who is a female, 937 00:48:47,960 --> 00:48:50,880 Speaker 4: and they're higher up and they have seen some of 938 00:48:50,920 --> 00:48:54,640 Speaker 4: the challenges and the experiences and they can help guide you. 939 00:48:54,800 --> 00:48:57,600 Speaker 4: Because I think that's such a crucial thing is whoever 940 00:48:57,600 --> 00:49:00,120 Speaker 4: we are, we're always going to run into challenges and 941 00:49:00,480 --> 00:49:03,239 Speaker 4: having that person to guide you is really important. And 942 00:49:03,280 --> 00:49:06,120 Speaker 4: I think often we can be afraid to ask people 943 00:49:06,160 --> 00:49:08,520 Speaker 4: to be a mentor, but actually anyone you ask will 944 00:49:08,560 --> 00:49:11,040 Speaker 4: be flattered if you ask them to be a mentor. 945 00:49:11,640 --> 00:49:14,359 Speaker 4: And so I think sometimes if you see someone you think, oh, 946 00:49:14,960 --> 00:49:18,319 Speaker 4: I'm inspired by them, that actually just go and ask them, 947 00:49:18,400 --> 00:49:19,919 Speaker 4: you know, can I come and chat to you every 948 00:49:19,960 --> 00:49:23,160 Speaker 4: now and again or whatever. So I'd say that's one thing. 949 00:49:23,280 --> 00:49:27,480 Speaker 4: And then definitely you see that even when women come 950 00:49:27,520 --> 00:49:30,640 Speaker 4: into science, often we lose women as you go higher 951 00:49:30,680 --> 00:49:33,439 Speaker 4: up the hierarchy, and there's a lot fewer women as 952 00:49:33,440 --> 00:49:35,040 Speaker 4: you go, you know, to the top of the hierarchy 953 00:49:35,080 --> 00:49:38,000 Speaker 4: within science. And I think that has a lot to 954 00:49:38,000 --> 00:49:40,680 Speaker 4: do with the challenges of the short term contracts and 955 00:49:41,000 --> 00:49:43,960 Speaker 4: if you're going to have a family, and the uncertainty 956 00:49:43,960 --> 00:49:47,400 Speaker 4: and science often requires travel and things like that, so 957 00:49:48,239 --> 00:49:52,719 Speaker 4: that's definitely can be a challenge. I think COVID has 958 00:49:52,760 --> 00:49:56,520 Speaker 4: shown up a lot of those challenges in very stark terms, 959 00:49:56,560 --> 00:49:59,320 Speaker 4: because you have a lot of women working at home 960 00:49:59,640 --> 00:50:02,279 Speaker 4: and to do a lot of the caring responsibilities and 961 00:50:02,400 --> 00:50:05,440 Speaker 4: trying to have their career, and you know, that has 962 00:50:05,480 --> 00:50:08,400 Speaker 4: been really hard. But then at the same time, a 963 00:50:08,440 --> 00:50:11,120 Speaker 4: lot of this moved to online work has also been 964 00:50:11,239 --> 00:50:13,680 Speaker 4: very good because if, for example, you've just had a baby, 965 00:50:13,920 --> 00:50:16,280 Speaker 4: you may not want to travel to that international conference, 966 00:50:16,960 --> 00:50:18,719 Speaker 4: but you feel like it's important to your career. But 967 00:50:18,760 --> 00:50:22,080 Speaker 4: if that international conference is now online, you can actually 968 00:50:22,120 --> 00:50:24,240 Speaker 4: access that. And so I think this move to online 969 00:50:24,280 --> 00:50:27,839 Speaker 4: work and flexibility is something that I hope we can 970 00:50:27,840 --> 00:50:30,920 Speaker 4: stick to in the future because I think that challenging 971 00:50:30,960 --> 00:50:34,640 Speaker 4: time when you're trying to balance work and family responsibilities, 972 00:50:34,880 --> 00:50:37,560 Speaker 4: having some of these online opportunities can be you know, 973 00:50:37,800 --> 00:50:41,160 Speaker 4: really really beneficial and ensure that as a woman you're 974 00:50:41,200 --> 00:50:44,240 Speaker 4: not falling behind and you're staying competitive and you're getting 975 00:50:44,239 --> 00:50:46,520 Speaker 4: access to all those great opportunities that you would do 976 00:50:46,560 --> 00:50:49,760 Speaker 4: if you were a single man running around the world. 977 00:50:51,000 --> 00:50:51,200 Speaker 3: Yeah. 978 00:50:51,280 --> 00:50:54,800 Speaker 1: I think the kind of general move more heavily towards 979 00:50:54,800 --> 00:50:57,600 Speaker 1: the digital landscape has also been really exciting for that 980 00:50:57,680 --> 00:51:00,359 Speaker 1: kind of visibility of women in science because I mean, 981 00:51:00,480 --> 00:51:02,640 Speaker 1: even through this program, being able to push it out 982 00:51:02,719 --> 00:51:06,359 Speaker 1: digitally and we've recorded not in the same state, we've 983 00:51:06,400 --> 00:51:09,640 Speaker 1: had international recordings as well, and it's so exciting to 984 00:51:09,680 --> 00:51:12,879 Speaker 1: be able to share just girls in school, so you know, 985 00:51:13,120 --> 00:51:14,680 Speaker 1: you might not otherwise have been able to go and 986 00:51:14,719 --> 00:51:17,000 Speaker 1: speak to show them that these are the career paths, 987 00:51:17,040 --> 00:51:19,239 Speaker 1: to have that visibility earlier in their pathway so that 988 00:51:19,280 --> 00:51:20,720 Speaker 1: they know it is actually possible. 989 00:51:20,719 --> 00:51:22,279 Speaker 2: It's just such a privilege to be. 990 00:51:22,239 --> 00:51:24,440 Speaker 1: Part of this and so exciting to think of the 991 00:51:24,480 --> 00:51:26,520 Speaker 1: impact this could have on a lot of young girls' 992 00:51:26,600 --> 00:51:30,040 Speaker 1: choices as they go forward into the world. What has 993 00:51:30,160 --> 00:51:33,560 Speaker 1: been part of Lorel's fellowship enabled you to do in 994 00:51:33,600 --> 00:51:35,960 Speaker 1: your research? Because there's kind of two aspects to this. 995 00:51:36,000 --> 00:51:39,719 Speaker 1: There's really making your stories accessible to younger women or 996 00:51:39,760 --> 00:51:42,200 Speaker 1: not even younger women, just anyone who's earlier on in 997 00:51:42,239 --> 00:51:45,160 Speaker 1: their career in science. But also a grant that's allowed 998 00:51:45,200 --> 00:51:47,680 Speaker 1: you to push forward in your research. So what is 999 00:51:47,719 --> 00:51:49,600 Speaker 1: it enabled for you that you might not have otherwise 1000 00:51:49,640 --> 00:51:50,279 Speaker 1: been able to do? 1001 00:51:50,880 --> 00:51:53,040 Speaker 4: So some of it is, you know, just doing the 1002 00:51:53,040 --> 00:51:55,040 Speaker 4: research itself, but I would say that a big thing 1003 00:51:55,160 --> 00:51:58,000 Speaker 4: is there's not many grants out there that you can 1004 00:51:58,120 --> 00:52:02,040 Speaker 4: use to contribute to childcare and to be able to 1005 00:52:02,120 --> 00:52:05,040 Speaker 4: apply for a grant that is supporting your research, but 1006 00:52:05,120 --> 00:52:08,360 Speaker 4: also you know, if I go and do a field trip, 1007 00:52:08,560 --> 00:52:12,120 Speaker 4: will help me work out the childcare during that. I mean, 1008 00:52:12,160 --> 00:52:14,759 Speaker 4: particularly as an example, you know, because I don't have 1009 00:52:14,800 --> 00:52:17,960 Speaker 4: family here, you know, one set of families in the UK, 1010 00:52:18,040 --> 00:52:20,359 Speaker 4: one set of families in the US. If I need 1011 00:52:20,400 --> 00:52:22,320 Speaker 4: to go into the field and you know, my husband's 1012 00:52:22,320 --> 00:52:24,759 Speaker 4: then on his own and he's trying to juggle childcare 1013 00:52:24,800 --> 00:52:27,719 Speaker 4: and all these other things, having been able to pay 1014 00:52:27,760 --> 00:52:31,000 Speaker 4: for that extra childcare is a massive, massive plus for me. 1015 00:52:31,040 --> 00:52:33,839 Speaker 4: And so I would say that that's a really great 1016 00:52:33,880 --> 00:52:36,080 Speaker 4: and unusual thing about this fellowship that you don't see 1017 00:52:36,080 --> 00:52:37,840 Speaker 4: in a lot of funding streams. 1018 00:52:38,000 --> 00:52:40,520 Speaker 1: Yeah, actually you're not the first of the fellows who's 1019 00:52:40,520 --> 00:52:43,759 Speaker 1: mentioned that. That was quite striking. And actually, when it 1020 00:52:43,800 --> 00:52:46,680 Speaker 1: really comes down to what enables women to forge a 1021 00:52:46,680 --> 00:52:49,279 Speaker 1: head in their careers in science, childcare is a really 1022 00:52:49,320 --> 00:52:52,120 Speaker 1: big barrier. It's not just getting research grinds, because there 1023 00:52:52,120 --> 00:52:54,520 Speaker 1: are many of those. So I think it's I've been 1024 00:52:54,560 --> 00:52:57,239 Speaker 1: so impressed that Lorel that's a beauty company, has been 1025 00:52:57,239 --> 00:52:59,839 Speaker 1: investing so heavily in science because I mean, science is. 1026 00:52:59,760 --> 00:53:00,960 Speaker 2: The ba of all their products. 1027 00:53:00,960 --> 00:53:03,239 Speaker 1: So I think, again, there's all these connections to the 1028 00:53:03,239 --> 00:53:06,439 Speaker 1: world of science that we don't necessarily otherwise make. Has 1029 00:53:06,480 --> 00:53:10,439 Speaker 1: there been a motivational quote or a mantra that's really 1030 00:53:10,440 --> 00:53:12,640 Speaker 1: guided you through your journey or something that you would 1031 00:53:12,760 --> 00:53:15,040 Speaker 1: sort of share with your daughter, or if she go through. 1032 00:53:14,840 --> 00:53:15,560 Speaker 3: Her own journey. 1033 00:53:15,600 --> 00:53:17,760 Speaker 4: I would say. There's one specifically to do with science 1034 00:53:17,800 --> 00:53:21,040 Speaker 4: that I really love because I feel like it sums 1035 00:53:21,120 --> 00:53:23,240 Speaker 4: up so much of what I have found about science. 1036 00:53:23,480 --> 00:53:25,960 Speaker 4: And that's one from Maria Montessori. I think she's the 1037 00:53:26,000 --> 00:53:29,280 Speaker 4: lady who started the Montessori schools or that sort of philosophy, 1038 00:53:29,520 --> 00:53:33,040 Speaker 4: and she said, we especially need imagination in science. It's 1039 00:53:33,120 --> 00:53:36,360 Speaker 4: not all mathematics nor all logic, but in somewhat beauty 1040 00:53:36,400 --> 00:53:40,560 Speaker 4: and poetry. And I just think that that sums up 1041 00:53:41,040 --> 00:53:43,239 Speaker 4: so much of or it corrects a lot of the 1042 00:53:43,239 --> 00:53:46,880 Speaker 4: misconception there is about science that you're sitting in school 1043 00:53:46,920 --> 00:53:49,000 Speaker 4: and you're taking exams, and you're so worried about that 1044 00:53:49,080 --> 00:53:50,960 Speaker 4: one particular grade, and you think that that is going 1045 00:53:51,000 --> 00:53:53,520 Speaker 4: to make or break your science career if that's what 1046 00:53:53,560 --> 00:53:56,759 Speaker 4: you want to be. And actually there's so many other 1047 00:53:56,800 --> 00:54:00,480 Speaker 4: skills that we can draw on to have a successful 1048 00:54:00,520 --> 00:54:05,400 Speaker 4: science career, and having some imagination about how you solve 1049 00:54:05,480 --> 00:54:10,080 Speaker 4: problems and drawing in on those skills can be so beneficial. 1050 00:54:10,520 --> 00:54:12,320 Speaker 4: I mean, as an example, this is not necessarily to 1051 00:54:12,320 --> 00:54:14,880 Speaker 4: do with imagination, but one job I got which was 1052 00:54:15,160 --> 00:54:19,160 Speaker 4: as a college lecturer teaching these students how to introduction 1053 00:54:19,200 --> 00:54:22,400 Speaker 4: to oceanographina and introduction to marine biology. And the reason 1054 00:54:22,440 --> 00:54:26,479 Speaker 4: I got that job above the other candidates was because 1055 00:54:26,520 --> 00:54:28,920 Speaker 4: I was also a diving instructor. Had nothing to do 1056 00:54:28,960 --> 00:54:32,640 Speaker 4: with my science background. It was because I had that 1057 00:54:32,719 --> 00:54:36,320 Speaker 4: extra skill that made me more useful to the company. 1058 00:54:36,520 --> 00:54:39,279 Speaker 4: And I think, you know, whether you have experience with 1059 00:54:39,840 --> 00:54:44,200 Speaker 4: accounting or marketing or you know, social media, whatever it is, 1060 00:54:44,520 --> 00:54:47,680 Speaker 4: so many of those aspects touched on science, and so 1061 00:54:48,440 --> 00:54:52,200 Speaker 4: don't feel that just being good at maths is the 1062 00:54:52,320 --> 00:54:53,440 Speaker 4: essential skill. 1063 00:54:53,760 --> 00:54:56,120 Speaker 1: Yeah, it's actually funny how many of the fellows have 1064 00:54:56,280 --> 00:54:59,319 Speaker 1: mentioned that you at the beginning of your career, you 1065 00:54:59,400 --> 00:55:02,320 Speaker 1: kind of perceived science is mutually exclusive with the arts 1066 00:55:02,400 --> 00:55:06,279 Speaker 1: or creativity or expression. But actually, in practice, if you 1067 00:55:06,320 --> 00:55:09,680 Speaker 1: don't have creativity or some kind of artistic flair, your 1068 00:55:09,680 --> 00:55:12,520 Speaker 1: research is kind of hindered by your inability to think 1069 00:55:12,600 --> 00:55:15,520 Speaker 1: outside of those boxes. So that's I mean, incredibly reassuring 1070 00:55:15,560 --> 00:55:17,759 Speaker 1: for anyone who feels like, oh, but would I lose 1071 00:55:17,800 --> 00:55:20,560 Speaker 1: my creative side? Absolutely not, it seems. 1072 00:55:21,280 --> 00:55:22,520 Speaker 4: And actually, if you speak to I think if you 1073 00:55:22,560 --> 00:55:25,000 Speaker 4: speak to a lot of scientists, so many scientists have 1074 00:55:25,280 --> 00:55:27,160 Speaker 4: some sort of artistic hobby, you know, whether they're into 1075 00:55:27,239 --> 00:55:29,279 Speaker 4: music or they you know, they play an instrument, they 1076 00:55:29,280 --> 00:55:31,920 Speaker 4: do some sort of art or you know, whatever it is. 1077 00:55:32,040 --> 00:55:34,840 Speaker 4: I always find it really interesting what people do, you know, 1078 00:55:34,920 --> 00:55:39,560 Speaker 4: outside science, their hobbies that help them keep that creative slant. 1079 00:55:39,880 --> 00:55:41,520 Speaker 1: And I love that you mentioned that too, because it's 1080 00:55:42,160 --> 00:55:44,720 Speaker 1: I mean, in science, but also outside of science. Something 1081 00:55:44,760 --> 00:55:46,640 Speaker 1: that I think happens a lot is that we've become 1082 00:55:46,760 --> 00:55:48,839 Speaker 1: we silo ourselves so much into I am. 1083 00:55:48,760 --> 00:55:50,520 Speaker 2: A scientist, or I am a lawyer, or I am 1084 00:55:50,640 --> 00:55:51,279 Speaker 2: or whatever, and. 1085 00:55:51,239 --> 00:55:54,960 Speaker 1: We really drop extracurricular activities or things that are just 1086 00:55:55,000 --> 00:55:58,239 Speaker 1: for leisure or pleasure because they're not productive or because 1087 00:55:58,280 --> 00:55:59,640 Speaker 1: they don't contribute to our overall. 1088 00:55:59,719 --> 00:55:59,879 Speaker 3: OK. 1089 00:56:00,440 --> 00:56:03,399 Speaker 1: But something I have loved and that this whole show 1090 00:56:03,480 --> 00:56:06,279 Speaker 1: is based around, is the idea that the more sort 1091 00:56:06,280 --> 00:56:09,480 Speaker 1: of additional but unrelated things you have in your life, 1092 00:56:09,520 --> 00:56:13,200 Speaker 1: like you're diving the intersection of your passions and your profession, 1093 00:56:13,640 --> 00:56:16,040 Speaker 1: whatever random combination that is, you never know when it's 1094 00:56:16,040 --> 00:56:18,840 Speaker 1: going to be useful. And one of our most popular 1095 00:56:18,840 --> 00:56:22,280 Speaker 1: episodes ever was Doctor Richard Harris, the twenty nineteen Australian 1096 00:56:22,280 --> 00:56:24,879 Speaker 1: of the year who's undernethotist, which is so medical and 1097 00:56:24,920 --> 00:56:27,800 Speaker 1: so unrelated to his passion which is technical cave diving, 1098 00:56:28,560 --> 00:56:30,359 Speaker 1: and then to sedate the boys to get them out 1099 00:56:30,360 --> 00:56:32,440 Speaker 1: of the cave, like he was the only person in 1100 00:56:32,480 --> 00:56:36,160 Speaker 1: the world with that really random combination of passions and skills. 1101 00:56:36,640 --> 00:56:39,479 Speaker 1: So that always reminds me someone out there is looking 1102 00:56:39,520 --> 00:56:42,360 Speaker 1: for exactly what you have, no matter how weird it seems. 1103 00:56:42,400 --> 00:56:45,360 Speaker 1: So whatever your passion is, and never think that just 1104 00:56:45,400 --> 00:56:47,920 Speaker 1: because you're a scientist, you can't do completely unscience related 1105 00:56:47,960 --> 00:56:49,320 Speaker 1: things in your life as well. 1106 00:56:49,120 --> 00:56:52,920 Speaker 4: And also that don't undersell the skills you have, even 1107 00:56:52,960 --> 00:56:56,520 Speaker 4: if they're not obviously directly relevant to know what you're 1108 00:56:56,560 --> 00:56:57,000 Speaker 4: looking at. 1109 00:56:57,120 --> 00:56:58,000 Speaker 2: Yeah, totally. 1110 00:56:58,640 --> 00:57:01,880 Speaker 1: Well, speaking of things that are outside of your science brain, 1111 00:57:02,200 --> 00:57:05,680 Speaker 1: do you have any what we call recommendations of a 1112 00:57:05,719 --> 00:57:08,560 Speaker 1: movie or a book or a TV show. I mean, 1113 00:57:08,560 --> 00:57:10,799 Speaker 1: it can be related to science, but I think also 1114 00:57:10,880 --> 00:57:12,719 Speaker 1: it's really important to be able to get distance and 1115 00:57:12,760 --> 00:57:14,480 Speaker 1: let your brain have a risk. Is there anything that's 1116 00:57:14,520 --> 00:57:17,160 Speaker 1: just made you really happy that you've just it's given 1117 00:57:17,200 --> 00:57:19,120 Speaker 1: you yay that you've watched or rich I think. 1118 00:57:19,040 --> 00:57:22,840 Speaker 4: One of one of my favorite is a podcast called 1119 00:57:22,880 --> 00:57:25,080 Speaker 4: how to fail. I don't know if you listen to 1120 00:57:26,160 --> 00:57:28,800 Speaker 4: no and it's run by this lady Elizabeth Day, and 1121 00:57:28,880 --> 00:57:32,040 Speaker 4: she interviews people who have super successful careers and all 1122 00:57:32,080 --> 00:57:35,880 Speaker 4: sorts of different things, you know, celebrities or scientists or 1123 00:57:36,280 --> 00:57:39,720 Speaker 4: you know, whatever it is, but she asks them about 1124 00:57:39,800 --> 00:57:42,680 Speaker 4: three key failures they had along the way to where 1125 00:57:42,680 --> 00:57:45,200 Speaker 4: they are today. And I love it because you hear, 1126 00:57:45,360 --> 00:57:47,080 Speaker 4: you know, you see these people, you think, are they 1127 00:57:47,120 --> 00:57:50,160 Speaker 4: are so successful, nothing's ever gotten wrong in their lives, 1128 00:57:50,760 --> 00:57:52,960 Speaker 4: and then you hear these ridiculous stories of you know, 1129 00:57:53,040 --> 00:57:56,040 Speaker 4: either stupid things they did or things that went wrong 1130 00:57:56,280 --> 00:57:59,960 Speaker 4: or tragedies, and you just you're like, oh, everyone has 1131 00:58:00,120 --> 00:58:05,880 Speaker 4: this stuff, and being successful doesn't mean that you haven't 1132 00:58:05,920 --> 00:58:08,320 Speaker 4: had failures along the way and things haven't gone horribly 1133 00:58:08,360 --> 00:58:10,920 Speaker 4: wrong at some point. And I just so many of 1134 00:58:10,960 --> 00:58:12,800 Speaker 4: the stories in this podcast just made me laugh. 1135 00:58:13,280 --> 00:58:14,480 Speaker 2: I love that so much. 1136 00:58:14,520 --> 00:58:17,800 Speaker 1: I actually think failure is almost like a necessary ingredient 1137 00:58:17,840 --> 00:58:20,040 Speaker 1: of success, because those are the things. One of my 1138 00:58:20,440 --> 00:58:23,640 Speaker 1: good friends, Lisa Messenger, has this idea of failing forwards, 1139 00:58:24,000 --> 00:58:26,680 Speaker 1: like you can't actually grow or elevate yourself to the 1140 00:58:26,720 --> 00:58:29,960 Speaker 1: next level until you fail and stumble, because otherwise, how 1141 00:58:29,960 --> 00:58:32,160 Speaker 1: would you grow to the next thing unless you'd figured 1142 00:58:32,200 --> 00:58:34,400 Speaker 1: out what you weren't doing right. So it's a great 1143 00:58:34,440 --> 00:58:38,320 Speaker 1: opportunity to learn and advance. I think your tolerance for 1144 00:58:38,360 --> 00:58:42,720 Speaker 1: failure is what tends to make people more successful. Yeah, yeah, Well, 1145 00:58:42,760 --> 00:58:45,440 Speaker 1: thank you so much for joining us. This was so fascinating. 1146 00:58:45,480 --> 00:58:48,600 Speaker 1: You're the first real life marine biologist I've ever spoken to. 1147 00:58:48,720 --> 00:58:51,320 Speaker 1: I feel like so many of us because we love dolphins. 1148 00:58:51,360 --> 00:58:53,440 Speaker 1: When we're younger, everyone wants to be a marine biologist, 1149 00:58:53,480 --> 00:58:56,720 Speaker 1: but so few people actually become one. So it's been 1150 00:58:56,760 --> 00:58:59,960 Speaker 1: fascinating to read about the ways that you've used oceanogga 1151 00:59:00,520 --> 00:59:03,160 Speaker 1: and branch out in all these different areas and are 1152 00:59:03,200 --> 00:59:04,360 Speaker 1: continuing to change the world. 1153 00:59:04,440 --> 00:59:07,080 Speaker 4: So thank you so much, Thanks very much, Sarah. 1154 00:59:07,120 --> 00:59:09,040 Speaker 1: Okay, Well, I don't know how you could listen to 1155 00:59:09,080 --> 00:59:11,640 Speaker 1: these women and not be blown away, even if you 1156 00:59:11,720 --> 00:59:14,800 Speaker 1: have no interest in ever working in science. Their work 1157 00:59:14,840 --> 00:59:16,680 Speaker 1: and the way it could change the world or is 1158 00:59:16,800 --> 00:59:18,280 Speaker 1: changing the world for the better. 1159 00:59:18,240 --> 00:59:20,320 Speaker 2: Is so incredibly interesting. 1160 00:59:20,840 --> 00:59:23,360 Speaker 1: I'm thoroughly enjoying the nerd out right now and hope 1161 00:59:23,400 --> 00:59:27,360 Speaker 1: this series encourages and inspires some future leading scientists to 1162 00:59:27,400 --> 00:59:30,080 Speaker 1: push on with their yay in stem I'd love to 1163 00:59:30,080 --> 00:59:32,320 Speaker 1: hear what you guys think, or anything you've learned or 1164 00:59:32,360 --> 00:59:35,080 Speaker 1: AHA moments, or if any of you were considering a shift. 1165 00:59:35,440 --> 00:59:37,800 Speaker 1: It's always so great to know what the Yablewood thinks 1166 00:59:37,800 --> 00:59:40,280 Speaker 1: of anything new or a bit different like a mini series. 1167 00:59:40,720 --> 00:59:43,200 Speaker 1: And if you have any specific questions you'd like me 1168 00:59:43,280 --> 00:59:46,280 Speaker 1: to pass on to either Mardoch or Kirsty, please just 1169 00:59:46,320 --> 00:59:49,200 Speaker 1: click me a DM or email and I can definitely 1170 00:59:49,440 --> 00:59:52,120 Speaker 1: make that happen. I'm so excited to bring you more 1171 00:59:52,160 --> 00:59:55,480 Speaker 1: next week with our three medical Science Champions thanks to 1172 00:59:55,520 --> 00:59:58,320 Speaker 1: the wonderful team at Loreal and There for Women in 1173 00:59:58,360 --> 01:00:02,360 Speaker 1: Science Fellowship, So please stay tuned and in the meantime, 1174 01:00:02,400 --> 01:00:15,080 Speaker 1: I hope you're seizing your yay