WEBVTT - Anne Wojcicki

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<v Speaker 1>A few years ago and Whisky start a company called

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<v Speaker 1>twenty three and Me. That company provides anyone who uses

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<v Speaker 1>the firm services with information about their own genetic code.

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<v Speaker 1>With that information, people going to determine their own ancestry

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<v Speaker 1>and they can also determine where they have potential genetic

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<v Speaker 1>health problems in the future. I sat down with Anne

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<v Speaker 1>and her home in Palo Alto to discuss the future

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<v Speaker 1>of twenty three and me and how it can help

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<v Speaker 1>solve genetic health care problems. So for those people that

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<v Speaker 1>have not done twenty three and me yet as a

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<v Speaker 1>test kit, tell us what twenty three and me actually is.

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<v Speaker 1>So twenty three and Me is a company that allows

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<v Speaker 1>you to see your own DNA, but it also helps

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<v Speaker 1>you understand what are your genetic health risks? What is

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<v Speaker 1>it that your potentially predisposed to something like type two diabetes,

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<v Speaker 1>h fibrillation. But it also helps you understand your ancestry.

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<v Speaker 1>So where are you from the world, how are you

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<v Speaker 1>connected to other people? And we make it so shoal like.

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<v Speaker 1>One of the big differences with twenty three and Me

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<v Speaker 1>is like we have a it's a social platform, so

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<v Speaker 1>you could share like you and I could share our

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<v Speaker 1>data together, we could potentially be relatives. You can find

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<v Speaker 1>new relatives on twenty three ME and you can also

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<v Speaker 1>share some of your health information. So when people take

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<v Speaker 1>this test, and I should say I took it recently,

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<v Speaker 1>I haven't gotten the results back. I'm nervous about whether

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<v Speaker 1>I'm going to get good or bad results. But all

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<v Speaker 1>you do is you spit into a little tube, you

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<v Speaker 1>mail it back to you, and then how do you

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<v Speaker 1>get out of somebody's saliva all this information? Isn't it?

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<v Speaker 1>It's it's amazing that it's just it's a little tube

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<v Speaker 1>of spit. So you spit in the tube. It actually

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<v Speaker 1>takes about ten minutes to spit um. You have cells

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<v Speaker 1>from your cheek and you know, cells cells that come

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<v Speaker 1>into that spit into the saliva, and you send it

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<v Speaker 1>back to us. We um you know, take part of

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<v Speaker 1>that sample. We extract the DNA and we run it

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<v Speaker 1>on Jean chip. You know, it's a technology that Alumina

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<v Speaker 1>has made and that's part of it's you know, thanks

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<v Speaker 1>to this company. It's a very affordable test. You know,

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<v Speaker 1>it's under two dollars if you want to get the

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<v Speaker 1>health and the ancestry, and it takes a couple of

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<v Speaker 1>weeks for us to turn it around, and then you

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<v Speaker 1>have your genome. And what twenty three really has done

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<v Speaker 1>is built all of the tools, all the interactive software tools,

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<v Speaker 1>so that you can navigate and explore what does the

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<v Speaker 1>genome mean for you? So when you give the results

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<v Speaker 1>back to people, what are they typically most surprised to learn?

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<v Speaker 1>We're first and foremost really concerned about health returning health results,

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<v Speaker 1>and so we spend a lot of time thinking about, Okay,

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<v Speaker 1>if I'm going to tell you your genetically high risk

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<v Speaker 1>for Alzheimer's, how are you going to respond to that? Um,

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<v Speaker 1>We have all kinds of additional layers of consent, We

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<v Speaker 1>have you know, physician videos around it. But I would

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<v Speaker 1>say what the biggest surprises for people is that they

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<v Speaker 1>find out that they have additional family members that they

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<v Speaker 1>did not know about, or the family members that they

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<v Speaker 1>have they did not necessarily you know, they find out

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<v Speaker 1>that they're not necessarily related UM or genetically related. So

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<v Speaker 1>I would say the family connections are frankly actually become

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<v Speaker 1>the biggest surprise for me. UM. I would say, when

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<v Speaker 1>the other biggest questions is like, what is that definition

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<v Speaker 1>of race? So a lot of people find out that

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<v Speaker 1>they have African ancestry or they have Jewish ancestry, but

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<v Speaker 1>they never knew that they had either those. So then

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<v Speaker 1>what really is that definition of being Jewish or what's

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<v Speaker 1>that definition of being African American? With the co discovery

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<v Speaker 1>of DNA with James Watson and uh, he once told

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<v Speaker 1>me that he had his human genome mapped early, one

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<v Speaker 1>of the early people, but he said he didn't want

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<v Speaker 1>to know if he had a predisposition to Alzheimer's, And

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<v Speaker 1>I wonder or a lot of people have that view,

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<v Speaker 1>which is, I'd like to know what my genes would be,

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<v Speaker 1>but don't tell me if I have a predisposition Alzheimer's,

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<v Speaker 1>because not much I can do about it. Is that right?

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<v Speaker 1>I think it's it's actually I would say you have

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<v Speaker 1>sort of two camps, and both camps feel very strongly.

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<v Speaker 1>You have a group of people who very much want

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<v Speaker 1>to know everything about themselves, and they don't necessarily a

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<v Speaker 1>report like Alzheimer's doesn't necessarily have clinical utility in the

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<v Speaker 1>capacity that you're going to have a treatment or you're

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<v Speaker 1>going to change anything, but it has high personal utility,

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<v Speaker 1>meaning that those people might decide they create a will

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<v Speaker 1>they retire earlier or one of the main things that

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<v Speaker 1>we see people do is they go and they buy

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<v Speaker 1>long term care insurance. So what we see is that

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<v Speaker 1>they take a personal utility and they're actually proactive with

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<v Speaker 1>that information. Now, in the consumer world, what people like

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<v Speaker 1>is repeat customers. And so if I did as I

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<v Speaker 1>just did, I took a twenty three and me test.

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<v Speaker 1>Once I get the results, how do you monetize me

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<v Speaker 1>in the future? What are there are different things you

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<v Speaker 1>can sell to me? Or because that's what usually companies

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<v Speaker 1>like to do is go back to their customers and

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<v Speaker 1>sell them something else. So what do you have interesting?

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<v Speaker 1>You know, I could look back like if we if

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<v Speaker 1>I ever do a retrospective on twenty three and me,

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<v Speaker 1>was it a mistake to not have a subscription product earlier?

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<v Speaker 1>So we do today have a subscription product. In early

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<v Speaker 1>early stages of the subscription product, the original I ideas

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<v Speaker 1>with twenty three me was that we'd get you in

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<v Speaker 1>in the simplest way possible because we didn't want to

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<v Speaker 1>overly confuse the messaging about a subscription or not. But

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<v Speaker 1>it was just it was so unknown, like why do

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<v Speaker 1>you even want your genetic information. So the idea was

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<v Speaker 1>like I needed to see the market just with like

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<v Speaker 1>my early adopters is like, just like what is this information?

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<v Speaker 1>And make it as simple as possible. But what I've

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<v Speaker 1>seen over the last sixteen years is that my customers

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<v Speaker 1>are really engaged. So for example, over eighty five of

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<v Speaker 1>our customers are consenting for research, like really high numbers

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<v Speaker 1>of people opt into research. Over fift of my customers

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<v Speaker 1>are coming back on a quarterly basis. So if I

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<v Speaker 1>subscribe to one of your subscription services and I have

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<v Speaker 1>a predisposition to disease A or be, you're likely to

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<v Speaker 1>send me information on that from time and time. Is

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<v Speaker 1>that what you mean? We'll potentially update that report or

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<v Speaker 1>well potentially said you additional But the main thing we

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<v Speaker 1>did we recently acquired a company called Lemonade Health. And

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<v Speaker 1>the reason why we acquired Lemonade Health was two folds,

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<v Speaker 1>like mostly to fit answer the question that you just asked.

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<v Speaker 1>Here is like you find out your higher risk, Well,

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<v Speaker 1>now what can you do? So first and foremost will

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<v Speaker 1>be able to have medical protocols about how can we

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<v Speaker 1>actually deliver genomic based care. No one has adopted genomic medicine,

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<v Speaker 1>So how can I adopt genomic based care in a

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<v Speaker 1>primary care setting to really help think about how do

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<v Speaker 1>I engage, Like how do I help you be healthy? So,

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<v Speaker 1>first and foremost we're going to like solve that question

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<v Speaker 1>for you. Second is really about the engagement side. You

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<v Speaker 1>find out your higher risk for heart disease, well, like

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<v Speaker 1>an article just came out about caffeine consumption in heart

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<v Speaker 1>disease or sleep in heart disease, I want you to

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<v Speaker 1>update me. So the company then will start to update

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<v Speaker 1>people to say, hey, here's the latest about what's happening.

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<v Speaker 1>Here's things that are in your hands that you should

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<v Speaker 1>actually start to go and think about. Now, you have

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<v Speaker 1>a fairly distinguished family. I'd like to talk about it

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<v Speaker 1>for a moment. It's been written about. I recall your

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<v Speaker 1>father was a physics professor in the head of the

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<v Speaker 1>physics department at Stanford. Your mother is a distinguished educator

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<v Speaker 1>and wrote a book about how to raise distinguished, accomplished children.

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<v Speaker 1>She sure did. One of your sisters is an epidemiologist

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<v Speaker 1>at the University of California, professor. Another sister runs YouTube.

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<v Speaker 1>And then you are the founder of twenty three and

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<v Speaker 1>so what was it like growing up on the Stanford

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<v Speaker 1>campus with all this talented around you. I think the

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<v Speaker 1>best thing about how we grew up is we were

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<v Speaker 1>surrounded by an academic culture of people who really prioritized

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<v Speaker 1>education and learning, but also really encourage people to pursue

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<v Speaker 1>their passions. So what I what I love about all

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<v Speaker 1>my sisters, Like we both you know, Susan and I

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<v Speaker 1>happened to be in higher profile roles, but everyone is

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<v Speaker 1>pursuing something that they really love and they really enjoy doing.

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<v Speaker 1>So I think that the best thing we all got

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<v Speaker 1>from our parents was to pursue your passions, no matter

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<v Speaker 1>how esoteric, or whether or not they're monetize able or

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<v Speaker 1>if it's you know, an academic kind of pursuit. Right.

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<v Speaker 1>So I grew up in the Stanford campus. I assume

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<v Speaker 1>you're an all A student. Your sisters are all a's.

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<v Speaker 1>So where did you want to go to school? In college?

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<v Speaker 1>You know, I kind of debate. I mean, my my

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<v Speaker 1>father went to Harvard. Like the realities, you know, things

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<v Speaker 1>based on your parents, and my father was really lucky.

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<v Speaker 1>He went to Harvard after he came from he came

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<v Speaker 1>from Poland. He was in school and he went early

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<v Speaker 1>to Harvard. Um My mom went to Berkeley, so I knew.

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<v Speaker 1>My parents always encouraged me. They would say, you know, go,

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<v Speaker 1>like it's important to go, it's important to have education,

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<v Speaker 1>it's important to go to a good school. But there's

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<v Speaker 1>a lot of good schools, and I would say today

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<v Speaker 1>people over emphasized, like you know what, exactly what school

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<v Speaker 1>I have to go to. There's so many great schools,

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<v Speaker 1>and frankly, the great school finds you. Um So, I

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<v Speaker 1>always wanted to go. I thought Harvard would be fascinating.

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<v Speaker 1>My oldest sister she went to Harvard. Um I used

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<v Speaker 1>to stay with her at Harvard. I just like I

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<v Speaker 1>was fascinated by people who wore tweed and had leather patches.

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<v Speaker 1>Um So I decided not to end up going to Harvard.

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<v Speaker 1>I went to Yale for on weekend, and I fell

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<v Speaker 1>in love with Yale and I'm a yalely I just

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<v Speaker 1>loved it. Okay, And what did you study there? I

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<v Speaker 1>studied biology. And did you want to go to medical school?

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<v Speaker 1>I did. I thought about going to medical school. I

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<v Speaker 1>loved research, but I wasn't Um I can't say that

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<v Speaker 1>I was an incredibly talented researcher. I would say that

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<v Speaker 1>detail in that precision. There was a lot of wonderful

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<v Speaker 1>post docs in the lab who helped me get through

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<v Speaker 1>my research. But I love the science. I love molecular biology,

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<v Speaker 1>like it keeps me up at night that you have

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<v Speaker 1>this incredible set of processes going on right now in

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<v Speaker 1>your body. She went to Yale, you graduated. He decided

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<v Speaker 1>not going to go to medical school. But what did

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<v Speaker 1>you do? Well? I and I actually always you know,

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<v Speaker 1>and I joke a lot. I'm on the Kaiser Permanent,

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<v Speaker 1>a school medicine board, and I sometimes joke. I was like,

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<v Speaker 1>at some point, I'll still go to medical school, like I,

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<v Speaker 1>I mean, it's like the most it's the most interesting

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<v Speaker 1>job you can have, I think, But um, but I

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<v Speaker 1>decided not to, and very randomly I got a job.

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<v Speaker 1>I randomly got my resume sent to the Wallenberg family

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<v Speaker 1>in Sweden and they offered me a job. I didn't

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<v Speaker 1>know who they were, I didn't know what it was,

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<v Speaker 1>um and but I thought it was interesting, like it

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<v Speaker 1>was like a one year opportunity paid me forty dollars.

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<v Speaker 1>I thought I would never make that much money again,

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<v Speaker 1>so I figured I would go and do it for

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<v Speaker 1>a year. So where did you do this? So? I

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<v Speaker 1>worked in New York for almost ten years. Um. So

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<v Speaker 1>I started off with the Wallenberg's and then I went

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<v Speaker 1>to a series of hedge funds afterwards. Right so, um,

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<v Speaker 1>nothing could be higher in life than working for hedge funds. Right? No,

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<v Speaker 1>exactly how did you feel there was a higher calling

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<v Speaker 1>than working for a hedge fund at the point I

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<v Speaker 1>was my my my best friend's father used to call

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<v Speaker 1>me a leech on society. Um so, and I took

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<v Speaker 1>up fondly. I was like, look, the reality for me

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<v Speaker 1>is I was learning, Um, there was no better education

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<v Speaker 1>about it was like getting a PC. Like I went

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<v Speaker 1>to medical meetings every week. I went, I was speaking

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<v Speaker 1>with experts every day, Like I knew the health care

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<v Speaker 1>system so well. But I did feel after ten years,

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<v Speaker 1>I was investing in a system that was fundamentally not

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<v Speaker 1>really like not really the system that I wanted to

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<v Speaker 1>be part of. And um, and then I wanted to

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<v Speaker 1>do something. I feel like, you can't. If you're going

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<v Speaker 1>to complain about a problem, then you should, you know,

0:11:17.000 --> 0:11:18.960
<v Speaker 1>figure out how to fix it. So what year did

0:11:19.000 --> 0:11:21.520
<v Speaker 1>you decide to start? Twenty three? And me, it started

0:11:21.640 --> 0:11:24.079
<v Speaker 1>thinking about a lot in two thousand five, and then

0:11:24.120 --> 0:11:28.360
<v Speaker 1>it was two thousand two six that we actually started.

0:11:28.360 --> 0:11:31.040
<v Speaker 1>So for people who haven't paid attention to the genome world,

0:11:31.160 --> 0:11:33.800
<v Speaker 1>in the year two thousand, I think it was the

0:11:33.800 --> 0:11:38.000
<v Speaker 1>federal government said that two researchers, Francis Collins working at

0:11:38.040 --> 0:11:40.520
<v Speaker 1>n I H and Craig Ventor, who has had a

0:11:40.520 --> 0:11:45.160
<v Speaker 1>private company, had basically discovered the human genome. So that happened,

0:11:45.160 --> 0:11:47.680
<v Speaker 1>and I think two thousand President Clinton said that was

0:11:47.720 --> 0:11:50.920
<v Speaker 1>a tie, and they both given credit for it, leaving

0:11:50.920 --> 0:11:53.880
<v Speaker 1>aside the intramural fighting that had gone on before. So

0:11:54.080 --> 0:11:55.880
<v Speaker 1>it was then thought, Okay, the world is gonna be

0:11:55.920 --> 0:11:58.199
<v Speaker 1>so much better now that we know that human genome.

0:11:58.200 --> 0:12:00.439
<v Speaker 1>It's been mapped. There will be no more to Jesus,

0:12:00.440 --> 0:12:02.760
<v Speaker 1>we can fix all diseases. But what happened for the

0:12:02.920 --> 0:12:05.400
<v Speaker 1>ten years or so or fifteen years afterwards, it didn't

0:12:05.440 --> 0:12:07.880
<v Speaker 1>seem like much happened. But this is that's such an

0:12:07.880 --> 0:12:11.560
<v Speaker 1>interesting question, um, and this is also something that plagues me.

0:12:11.720 --> 0:12:14.880
<v Speaker 1>Like Francis Collins and President Clinton at the time came

0:12:14.920 --> 0:12:18.240
<v Speaker 1>out and said this human genome, like sequencing, the human

0:12:18.280 --> 0:12:22.000
<v Speaker 1>genome is going to transform how we diagnose treat and

0:12:22.080 --> 0:12:26.200
<v Speaker 1>prevent all human disease. So it's a huge statement about

0:12:26.200 --> 0:12:28.559
<v Speaker 1>what's going to happen. And I would argue one of

0:12:28.600 --> 0:12:31.520
<v Speaker 1>the biggest issues that's happened today is there has not

0:12:31.640 --> 0:12:35.679
<v Speaker 1>been adoption of genetic technology. And I would say point

0:12:35.720 --> 0:12:39.199
<v Speaker 1>back to again part of my dissatisfaction with the investing

0:12:39.240 --> 0:12:42.079
<v Speaker 1>world is part of the reason why it has not

0:12:42.200 --> 0:12:44.719
<v Speaker 1>been adopted is that a lot of genetic information is

0:12:44.760 --> 0:12:49.480
<v Speaker 1>about prevention. So for instance, if I tell you are

0:12:49.800 --> 0:12:53.080
<v Speaker 1>likely to have an adverse event from this this antidepressant,

0:12:53.360 --> 0:12:57.000
<v Speaker 1>or your potentially higher risk for atrial fib those are

0:12:57.080 --> 0:13:02.000
<v Speaker 1>not well monetized medical events. You can make a lot

0:13:02.040 --> 0:13:05.680
<v Speaker 1>of money treating atro fibrillation, but you cannot make money

0:13:05.720 --> 0:13:08.520
<v Speaker 1>in the absence of a disease. So, for instance, if

0:13:08.559 --> 0:13:11.760
<v Speaker 1>I successfully keep you healthy to a hundred, you are

0:13:11.840 --> 0:13:15.320
<v Speaker 1>not a profit center for the healthcare world. And so

0:13:15.440 --> 0:13:19.800
<v Speaker 1>genetic information a lot of that potential is not really

0:13:19.840 --> 0:13:23.760
<v Speaker 1>adopted in the primary care setting, in part because there's

0:13:23.760 --> 0:13:26.520
<v Speaker 1>not an assilium monetization path. So you're starting to see

0:13:26.520 --> 0:13:29.120
<v Speaker 1>that more in cancer, you start to see it more

0:13:29.360 --> 0:13:33.839
<v Speaker 1>in pregnancy related but it has not been widely adopted

0:13:34.320 --> 0:13:36.880
<v Speaker 1>I would say the second thing is that the US

0:13:37.040 --> 0:13:41.360
<v Speaker 1>is far far behind countries like the UK. So the

0:13:41.480 --> 0:13:44.760
<v Speaker 1>UK has an incredibly impressive program called the uk Biobank

0:13:45.120 --> 0:13:47.479
<v Speaker 1>where they have half a million people who have consented,

0:13:47.840 --> 0:13:52.120
<v Speaker 1>who are participating in a nationwide program and it's amazing,

0:13:52.200 --> 0:13:55.120
<v Speaker 1>like everyone including twenty three me uses the data that

0:13:55.160 --> 0:13:58.640
<v Speaker 1>comes out from the UK Biobank. The US has totally

0:13:58.640 --> 0:14:01.960
<v Speaker 1>fallen behind. So we have a program called all of

0:14:02.080 --> 0:14:04.240
<v Speaker 1>Us where we're trying to get people. It's supposed to

0:14:04.280 --> 0:14:06.760
<v Speaker 1>be a million people, but the UK has already left

0:14:06.760 --> 0:14:09.400
<v Speaker 1>prog us and said we have a five million person program.

0:14:09.480 --> 0:14:12.400
<v Speaker 1>Now that's going to be, you know, running ahead. So

0:14:12.480 --> 0:14:14.400
<v Speaker 1>the US and part there's also been a lot of

0:14:14.440 --> 0:14:17.280
<v Speaker 1>politics around you know, how is this going to execute?

0:14:17.480 --> 0:14:19.600
<v Speaker 1>You know, what are the ethics on it? If we

0:14:19.640 --> 0:14:22.360
<v Speaker 1>want to really capture the benefit of the human genome,

0:14:23.160 --> 0:14:26.240
<v Speaker 1>you need a massive I would say multiple countries that

0:14:26.320 --> 0:14:28.880
<v Speaker 1>come together and have like a hundred million people who

0:14:28.920 --> 0:14:31.320
<v Speaker 1>come together so you can really understand what the code is.

0:14:31.480 --> 0:14:34.160
<v Speaker 1>The US is obsessed not so much with the UK,

0:14:34.800 --> 0:14:37.400
<v Speaker 1>but it's with China. So it is China ahead of

0:14:37.440 --> 0:14:39.640
<v Speaker 1>us in this area or not? Well, China is crushing

0:14:39.720 --> 0:14:41.840
<v Speaker 1>us too, but we don't know as much about what

0:14:41.840 --> 0:14:44.920
<v Speaker 1>they're actually doing. So I would say, like the one

0:14:45.360 --> 0:14:48.360
<v Speaker 1>big worry that I always have is like China. China

0:14:48.440 --> 0:14:51.240
<v Speaker 1>knows how to execute and they know how to lead

0:14:51.280 --> 0:14:54.440
<v Speaker 1>on a program in China has made no um, no

0:14:54.600 --> 0:14:59.160
<v Speaker 1>uncertain statements about their interest in genetics and that they

0:14:59.200 --> 0:15:01.240
<v Speaker 1>want to be the world leader in this next the

0:15:01.280 --> 0:15:05.360
<v Speaker 1>genetic revolution. So China has made huge efforts. They have

0:15:05.440 --> 0:15:08.080
<v Speaker 1>huge programs, and they also have something called the Beijing

0:15:08.120 --> 0:15:12.720
<v Speaker 1>Genome Institute, which is an incredibly well funded you know, um,

0:15:12.720 --> 0:15:15.280
<v Speaker 1>you know, well funded with the government and a massive

0:15:15.320 --> 0:15:19.280
<v Speaker 1>sequencing shop where tons and tons of discoveries are being

0:15:19.280 --> 0:15:21.280
<v Speaker 1>made and there's nothing in the U s or nothing

0:15:21.280 --> 0:15:23.400
<v Speaker 1>in the UK that's even comparable. As you look at

0:15:23.400 --> 0:15:25.040
<v Speaker 1>the company you've created, and you look at what you've

0:15:25.080 --> 0:15:27.120
<v Speaker 1>done with your life, how do you think you're having

0:15:27.160 --> 0:15:29.360
<v Speaker 1>an impact on the world for the betterment of the world.

0:15:29.960 --> 0:15:32.960
<v Speaker 1>I think in two ways. So one, I personally believe

0:15:33.000 --> 0:15:36.680
<v Speaker 1>there's no more interesting challenge than trying to understand the

0:15:36.720 --> 0:15:40.320
<v Speaker 1>code of life. And I think that twenty three is

0:15:40.840 --> 0:15:46.760
<v Speaker 1>frankly the best positioned entity public or not not public

0:15:46.960 --> 0:15:50.120
<v Speaker 1>or you know, for profit or nonprofit, we are by

0:15:50.120 --> 0:15:53.000
<v Speaker 1>far and away the best positioned entity to solve the

0:15:53.080 --> 0:15:55.720
<v Speaker 1>question as to what does the human genome mean and

0:15:55.760 --> 0:15:58.880
<v Speaker 1>how can you apply it to individuals? So one, I

0:15:58.880 --> 0:16:00.960
<v Speaker 1>think we are going to be the lead in deciphering

0:16:01.000 --> 0:16:06.520
<v Speaker 1>the human genetic code. Second, I transform people's lives, like

0:16:06.600 --> 0:16:08.560
<v Speaker 1>it's what keeps me up at night, and it's also

0:16:08.600 --> 0:16:11.640
<v Speaker 1>what keeps me going. I tell someone that they're higher

0:16:11.720 --> 0:16:15.200
<v Speaker 1>risk for breast cancer and that leads them to get amasectomy,

0:16:15.440 --> 0:16:20.320
<v Speaker 1>and I can potentially prevent an early death, like that's amazing.

0:16:20.920 --> 0:16:23.240
<v Speaker 1>Or I can reconnect to family members where they've been

0:16:23.280 --> 0:16:26.320
<v Speaker 1>lost for years. Like. One thing twenty three ME does

0:16:26.400 --> 0:16:32.160
<v Speaker 1>is that we generate incredibly meaningful information for individuals. By

0:16:32.160 --> 0:16:34.080
<v Speaker 1>the way, all my twenty three and ME tasks I'm

0:16:34.120 --> 0:16:36.520
<v Speaker 1>waiting for they get the results soon. How can I

0:16:36.560 --> 0:16:38.920
<v Speaker 1>be certain that nobody will know the results other than me?

0:16:39.040 --> 0:16:40.880
<v Speaker 1>How can I be sure that you're not selling the

0:16:40.960 --> 0:16:43.560
<v Speaker 1>data to somebody else? So we honor the fact that, like,

0:16:43.600 --> 0:16:45.840
<v Speaker 1>this is your genome and you should do with it

0:16:45.880 --> 0:16:48.520
<v Speaker 1>what you want. So that means, though I'm not going

0:16:48.520 --> 0:16:51.360
<v Speaker 1>to prevent you from sharing it, I'm going to give

0:16:51.400 --> 0:16:54.680
<v Speaker 1>you options. So we as we ask you, do you

0:16:54.720 --> 0:16:58.640
<v Speaker 1>want to opt into research and over our customers are

0:16:58.640 --> 0:17:02.040
<v Speaker 1>now opting in so but it's not a default. We

0:17:02.120 --> 0:17:04.840
<v Speaker 1>actually ask you like you have to elect that option.

0:17:05.280 --> 0:17:07.880
<v Speaker 1>If you wanted to share your genetic information with me,

0:17:08.880 --> 0:17:11.960
<v Speaker 1>you have that opportunity. But there's no defaults, like nothing

0:17:12.040 --> 0:17:14.760
<v Speaker 1>is mandatory. So it's all about you being in control.

0:17:15.200 --> 0:17:18.040
<v Speaker 1>So your company went public not too long ago through

0:17:18.040 --> 0:17:20.560
<v Speaker 1>a spac process. I think it was a spact that

0:17:20.640 --> 0:17:24.320
<v Speaker 1>was involved with Richard Branson and Virgin So any regrets

0:17:24.320 --> 0:17:26.960
<v Speaker 1>to backgoing public or throw us back? No, I mean

0:17:27.000 --> 0:17:29.199
<v Speaker 1>it's interesting because it's it's definitely not you know, the

0:17:29.240 --> 0:17:33.040
<v Speaker 1>most positive of market times. Um, but I loved I

0:17:33.080 --> 0:17:37.159
<v Speaker 1>love the process, like being being public. The process of

0:17:37.160 --> 0:17:39.720
<v Speaker 1>going public is a lot of work. And so when

0:17:39.760 --> 0:17:42.600
<v Speaker 1>we decided about or we at least looked at opportunities

0:17:42.640 --> 0:17:44.840
<v Speaker 1>to go public, Like one of the big considerations for

0:17:44.880 --> 0:17:46.480
<v Speaker 1>me was how much time is it going to take

0:17:46.480 --> 0:17:49.400
<v Speaker 1>from me? And I wanted, like, I'm very much focused

0:17:49.400 --> 0:17:51.320
<v Speaker 1>and very much of a CEO that like I like

0:17:51.440 --> 0:17:53.000
<v Speaker 1>to operate and I like to be in the weed,

0:17:53.080 --> 0:17:55.679
<v Speaker 1>like how are we executing? So I wanted to make

0:17:55.720 --> 0:17:58.040
<v Speaker 1>sure I was minimizing times, like how much time is

0:17:58.080 --> 0:18:00.200
<v Speaker 1>it going to take for the whole process? This back

0:18:00.200 --> 0:18:03.960
<v Speaker 1>process is incredibly efficient. Um. I got incredibly lucky with

0:18:04.080 --> 0:18:07.320
<v Speaker 1>Richard Branson. He's a very high quality investor. He has

0:18:07.440 --> 0:18:11.359
<v Speaker 1>an incredibly educated team. He's actually invested in healthcare before.

0:18:11.800 --> 0:18:14.360
<v Speaker 1>He's run you know, benefits companies. He's had a care

0:18:14.400 --> 0:18:17.639
<v Speaker 1>company in the UK, so he knows this space and

0:18:17.680 --> 0:18:20.679
<v Speaker 1>he was specifically looking at healthcare in a consumer space.

0:18:21.040 --> 0:18:24.000
<v Speaker 1>So I'm happy with the like the process was smooth

0:18:24.160 --> 0:18:27.480
<v Speaker 1>and we ended up in a really successful situation. But

0:18:27.640 --> 0:18:31.800
<v Speaker 1>many tech companies have seen their prices go down, so

0:18:32.200 --> 0:18:35.479
<v Speaker 1>you you have as well? I said, so does that

0:18:35.560 --> 0:18:38.119
<v Speaker 1>bother you and you're saying, well, we'll come back, or

0:18:38.119 --> 0:18:41.080
<v Speaker 1>what is your view generally on the the future of

0:18:41.160 --> 0:18:43.400
<v Speaker 1>tech companies in terms of the valuations they once had.

0:18:43.680 --> 0:18:46.080
<v Speaker 1>I think coming from Wall Street has given me a

0:18:46.080 --> 0:18:49.080
<v Speaker 1>good perspective on this. You know, Wall Street is not

0:18:49.119 --> 0:18:52.919
<v Speaker 1>always a reflective of true value. And I can also

0:18:53.000 --> 0:18:55.920
<v Speaker 1>say that there's like no shortage of opportunities that people

0:18:55.920 --> 0:18:58.639
<v Speaker 1>have missed where there's a diamond in the gem like

0:18:59.000 --> 0:19:00.800
<v Speaker 1>you know, or diamond the rough where I could look

0:19:00.800 --> 0:19:02.320
<v Speaker 1>at like the early days of Google, or I could

0:19:02.320 --> 0:19:04.640
<v Speaker 1>look at the early days of Amazon, where people did

0:19:04.640 --> 0:19:06.919
<v Speaker 1>not really understand the story, and I would put us

0:19:06.960 --> 0:19:09.680
<v Speaker 1>in that bucket. A lot of people don't quite understand

0:19:09.720 --> 0:19:12.639
<v Speaker 1>what we do. They either think are we ancestry. We

0:19:12.680 --> 0:19:15.160
<v Speaker 1>also have a biotech side, which we haven't even talked about,

0:19:15.240 --> 0:19:16.960
<v Speaker 1>is like how do you translate all this data into

0:19:17.000 --> 0:19:21.760
<v Speaker 1>drug discovery? So we're complicated story. The market conditions are bad.

0:19:22.640 --> 0:19:25.560
<v Speaker 1>You know, markets are efficient over time, You're largely seen

0:19:25.600 --> 0:19:29.359
<v Speaker 1>as a consumer company, and consumer companies have relatively lower

0:19:29.400 --> 0:19:33.000
<v Speaker 1>pe multiples tech companies and biotech companies when the market

0:19:33.000 --> 0:19:35.959
<v Speaker 1>comes back and higher multiple. So can you transform your

0:19:35.960 --> 0:19:39.760
<v Speaker 1>company into being a tech or biotech company by working

0:19:39.760 --> 0:19:43.560
<v Speaker 1>on disease solutions as opposed to just giving people their information?

0:19:44.040 --> 0:19:47.080
<v Speaker 1>We are, Um, that's actually one of the beauties. So

0:19:47.200 --> 0:19:49.440
<v Speaker 1>twenty three AM when we started the company, remember I said,

0:19:49.440 --> 0:19:52.760
<v Speaker 1>it was like all about like exploring the genome. And

0:19:52.800 --> 0:19:54.080
<v Speaker 1>so one of the things we do is we have

0:19:54.119 --> 0:19:56.560
<v Speaker 1>this huge research arm like how can I help best

0:19:56.680 --> 0:19:59.800
<v Speaker 1>understand what the human genome means? And that's part of

0:20:00.240 --> 0:20:02.280
<v Speaker 1>the whole process from the very beginning, is how do

0:20:02.320 --> 0:20:05.480
<v Speaker 1>I consent people for research, engage them in research, learn

0:20:05.560 --> 0:20:08.720
<v Speaker 1>about them, and then I have a whole analytics team

0:20:08.760 --> 0:20:10.879
<v Speaker 1>and data science team that's in looking at all that

0:20:11.000 --> 0:20:13.160
<v Speaker 1>data to see how do I translate it either as

0:20:13.200 --> 0:20:16.239
<v Speaker 1>a consumer product back to you or actually now for

0:20:16.400 --> 0:20:19.280
<v Speaker 1>research and discovery. So I have over a hundred people

0:20:19.400 --> 0:20:22.679
<v Speaker 1>in a twenty three therapeutics arm of the business. We

0:20:22.720 --> 0:20:26.119
<v Speaker 1>have a major collaboration with GSK. We have over fifty

0:20:26.160 --> 0:20:29.159
<v Speaker 1>programs that are in development and we have to actually

0:20:29.200 --> 0:20:33.119
<v Speaker 1>in clinical trials, So we're a hundred Like absolutely, thinking

0:20:33.119 --> 0:20:36.000
<v Speaker 1>about how people will benefit from the human genome is

0:20:36.040 --> 0:20:39.200
<v Speaker 1>about actually translating that information into theory. And GSK is

0:20:39.200 --> 0:20:43.760
<v Speaker 1>a very large healthcare company medical research company. What are

0:20:43.760 --> 0:20:47.320
<v Speaker 1>you doing specifically with him? Specifically it's on target identification,

0:20:47.640 --> 0:20:50.520
<v Speaker 1>So we're specifically working with g s K to look

0:20:50.560 --> 0:20:53.320
<v Speaker 1>at the data that twenty three is generated to see

0:20:53.400 --> 0:20:58.119
<v Speaker 1>can we identify new novel drug targets. So you've built

0:20:58.119 --> 0:21:00.400
<v Speaker 1>a successful company, but you might not want to run

0:21:00.440 --> 0:21:04.080
<v Speaker 1>in for the next ten years, or do you? And

0:21:04.119 --> 0:21:06.040
<v Speaker 1>if you didn't, would you want to go into government?

0:21:06.040 --> 0:21:08.680
<v Speaker 1>At the president called you to serve our country? Would

0:21:08.680 --> 0:21:11.240
<v Speaker 1>you go into government or would you start another company.

0:21:11.960 --> 0:21:16.000
<v Speaker 1>I love what I do and I feel like I

0:21:16.080 --> 0:21:19.720
<v Speaker 1>have this luxury with twenty three ME that um, it's

0:21:19.760 --> 0:21:22.119
<v Speaker 1>and it keeps evolving. You know, we started out just

0:21:22.280 --> 0:21:25.520
<v Speaker 1>as a you know, started out a consumer company. We're

0:21:25.600 --> 0:21:29.400
<v Speaker 1>thick in research, we got into drug discovering two fifteen,

0:21:29.920 --> 0:21:32.560
<v Speaker 1>and now we're getting to the delivery of care. So

0:21:33.440 --> 0:21:35.360
<v Speaker 1>I've been really lucky with twenty three me that it's

0:21:35.359 --> 0:21:42.000
<v Speaker 1>been endlessly interesting and I'm surrounded by incredibly talented, brilliant

0:21:42.040 --> 0:21:45.200
<v Speaker 1>individuals where I learned from them, and what I always

0:21:45.200 --> 0:21:47.320
<v Speaker 1>advised people to do is like you should keep you

0:21:47.320 --> 0:21:50.639
<v Speaker 1>should take jobs where you're learning, and if you stop

0:21:50.720 --> 0:21:52.960
<v Speaker 1>learning in a job, then you should quit. And like frankly,

0:21:52.960 --> 0:21:55.199
<v Speaker 1>when people leave twenty three me, like I say, if

0:21:55.200 --> 0:21:58.840
<v Speaker 1>you're not learning anymore, you should move on. So I'm

0:21:59.000 --> 0:22:02.200
<v Speaker 1>I'm hun on committed to twenty three. That said, my

0:22:02.280 --> 0:22:06.440
<v Speaker 1>other passion is other direct to consumers, Like I want

0:22:06.480 --> 0:22:09.600
<v Speaker 1>to build out a true consumer empowered healthcare world, like

0:22:09.680 --> 0:22:13.080
<v Speaker 1>one that is outside of the existing system. And I

0:22:13.119 --> 0:22:17.679
<v Speaker 1>do there's no greater force than government and the opportunity

0:22:17.680 --> 0:22:20.480
<v Speaker 1>for government, So you know, there's always ideas, like I

0:22:20.480 --> 0:22:23.800
<v Speaker 1>could always do a sabbatical. You have three talented sisters too,

0:22:24.440 --> 0:22:28.480
<v Speaker 1>very um accomplished parents. Your parents ever said, well, guess

0:22:28.520 --> 0:22:30.800
<v Speaker 1>what your sister just did to kind of say you

0:22:30.800 --> 0:22:33.080
<v Speaker 1>should work even harder and be more, even more accomplished.

0:22:33.240 --> 0:22:36.880
<v Speaker 1>They put rivalries together, or you don't have that problem. No,

0:22:37.080 --> 0:22:39.560
<v Speaker 1>they know my parents. My parents are lovely, and my

0:22:39.640 --> 0:22:44.199
<v Speaker 1>sisters are you know, my sisters are quick to you know,

0:22:44.280 --> 0:22:46.520
<v Speaker 1>make me humble. I mean, it's part of why I

0:22:46.520 --> 0:22:49.280
<v Speaker 1>lived with my sisters. Like I had somebody over today,

0:22:49.320 --> 0:22:51.200
<v Speaker 1>like I had we had a coffee chat that with

0:22:51.560 --> 0:22:54.199
<v Speaker 1>somebody in the company today who you know? We auction

0:22:54.280 --> 0:22:56.879
<v Speaker 1>this off. And my sister was laughing. She's like someone

0:22:56.960 --> 0:23:00.760
<v Speaker 1>paid money to eat with you. And I was like thanks,

0:23:00.800 --> 0:23:03.400
<v Speaker 1>Like that wasn't the kinds of reminders I get from

0:23:03.400 --> 0:23:06.639
<v Speaker 1>the family. So your mother wrote this book about raising

0:23:06.720 --> 0:23:09.720
<v Speaker 1>talented children. Do you raise your children the way she

0:23:09.960 --> 0:23:15.640
<v Speaker 1>raised you? I listen. I think each generation improves upon

0:23:15.760 --> 0:23:19.720
<v Speaker 1>the last generation. So I think that we have taken um.

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<v Speaker 1>I have I haven't. I couldn't read the whole book.

0:23:21.920 --> 0:23:23.720
<v Speaker 1>I read parts of the book, but I wrote part

0:23:23.760 --> 0:23:27.160
<v Speaker 1>of I wrote the forward UM, and my my take

0:23:27.200 --> 0:23:29.280
<v Speaker 1>on that was more to like give the reality, like

0:23:29.280 --> 0:23:31.840
<v Speaker 1>the perspective from the child, Like I know my mother

0:23:31.880 --> 0:23:33.560
<v Speaker 1>is telling you about how she raised us, but let

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<v Speaker 1>me tell you about my mother, and so I look,

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<v Speaker 1>I think it's it's my mom. My parents are incredible,

0:23:40.320 --> 0:23:42.399
<v Speaker 1>Like I'm really grateful and there's lots of things that

0:23:42.440 --> 0:23:45.159
<v Speaker 1>I learned from them, but I'm definitely not adopting everything

0:23:45.160 --> 0:23:47.440
<v Speaker 1>they did. If your children go to Harvard and rather

0:23:47.480 --> 0:23:51.600
<v Speaker 1>than yeah, we'll be okay, let's not talk about that.

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<v Speaker 1>I mean my kids, my kids. I want my kids

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<v Speaker 1>to My kids are so interesting and so different, you know,

0:23:59.560 --> 0:24:01.600
<v Speaker 1>I want them to be passionate. That's the only thing

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<v Speaker 1>I care about is I want them to wake up

0:24:03.359 --> 0:24:05.880
<v Speaker 1>every day and say, like, I love what I'm doing.

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<v Speaker 1>And you would you be upset if they went into

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<v Speaker 1>something important like private equity? Are you giving me the

0:24:11.680 --> 0:24:15.880
<v Speaker 1>job offer? Thanks for listening to hear more of my interviews.

0:24:15.920 --> 0:24:19.840
<v Speaker 1>You can subscribe and download my podcast on Spotify, Apple,

0:24:20.119 --> 0:24:21.000
<v Speaker 1>or wherever you listen