53 Quotes by Bill Maris

  • Author Bill Maris
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    There are a lot of billionaires in Silicon Valley, but in the end, we are all heading to the same place. If given the choice between making a lot of money or finding a way to make people live longer, what do you choose?

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  • Author Bill Maris
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    I would draw a really big distinction between competition, or potential competition, and a conflict of interest. A conflict of interest implies wrongdoing, whereas competition is really healthy.

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  • Author Bill Maris
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    We can get much better outcomes from people if we understand the genetic basis of the exact cancer that they have, what interventions might be most effective against it, what's worked in the past and what hasn't.

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  • Author Bill Maris
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    Humans are terrible at predicting the future. We really overestimate what we can do in the short term and underestimate what we can do in the long term... If we can glimpse even a couple of years into the future, even that's difficult to do.

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  • Author Bill Maris
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    We have this powerful lever at Google Ventures, which is to invest $200 million a year. This is a huge lever. It's not all going into one place; it's going into lots of start ups and founders and entrepreneurs, all of which are levers to try and change the world in one way or another.

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  • Author Bill Maris
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    We actually have the tools in the life sciences to achieve anything that you have the audacity to envision. I just hope to live long enough not to die.

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  • Author Bill Maris
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    We are looking for highly technical, enthusiastic and capable entrepreneurs who have a healthy disregard for the impossible, and that's not always easy to find.

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  • Author Bill Maris
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    You make a great investment in the consumer Internet, maybe you make a lot of money and create something useful, interesting, or fun. But in life sciences, you have a chance to be part of something that lets people live longer and healthier and not lose the people they care about. That is really profound.

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  • Author Bill Maris
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    When you apply computer science and machine learning to areas that haven't had any innovation in 50 years, you can make rapid advances that seem really incredible.

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