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Daphne Koller doesn’t mind hard work. She joined Stanford University’s computer science department in 1995, spending the next 18 years there in a full-time capacity before cofounding the online education giant Coursera, where she spent the following four years and remained co-chairman until last month. Koller then spent a little less than two years at Alphabet’s longevity lab, Calico, as its first chief computing officer.
It was there that Koller was reminded of her passion for applying machine learning to improve human health. She was also reminded of what she doesn’t like, which is wasted effort, something that the drug development industry — slow to understand the power of computational methods for analyzing biological data sets — as been plagued by for years.
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In fairness, those computational methods have also gotten a whole lot better more recently. Little wonder that last year, Koller spied the opportunity to start another company, a drug development company called Insitro that has since raised $100 million in Series A funding, including from GV, Andreessen Horowitz and Bezos Expeditions, among others. As notably, the company recently partnered with Gilead Sciences to find medicines to treat a liver disease called nonalcoholic steatohepatitis (NASH) because of all the human data on the disease that Gilead has amassed over the years.
Later, Insitro may target even bigger epidemics, including perhaps Alzheimer’s disease or Type 2 diabetes. Certainly, it has reason to feel optimistic about what it can accomplish. As Koller told a group of rapt attendees at an event hosted by this editor a few days ago, “We’re now at a moment in history where a confluence of technologies emerged all at around the same time allow really large and interesting and disease-relevant data sets to be produced in biology. In parallel, we see . . . machine learning technologies that...
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