Daphne Koller, founder of Insitro and co-founder of Coursera, addresses founders seeking data and partnerships in healthcare, emphasizing the long timeline required to build trust.
“Going into the space is a long haul game. This is not a game you're going to win in two to three years.”
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More from Daphne Koller
PredictionNot checkable as stated
Koller: General artificial intelligence is not right around the corner
“I think one of the big risks that we run as a machine learning community is the incredible amount of hyperbole that's going on right now, where it's like, we're gonna have general intelligence right around the corner. We're not. Ok, we really aren't.”
Daphne KollerJan 2, 2019▶ 21:41a16z Podcast | Breaking Into Bio
PredictionOpen · timeframe Dec 2030
Koller: Insitro will deliver AI-discovered medicines to patients by 2030
“The hope is that by the end of the Of this decade, we will have built this process, we will have run through it a number of times, we will have delivered some medicines to patients in our first tranche of indications, but then we will have learned enough from …”
Daphne KollerSep 25, 2023▶ 10:53Digital Biology with insitro's Daphne Koller
Insight
Koller: Biological ML requires exploiting domain structure due to dataset limits
“We're still not in the large, large data regime where, you know, blind architectures that don't exploit structure of the problem can just work out of the box. So you really have to understand your problem domain and figure out how to exploit the structure that…”
Daphne KollerJan 2, 2019▶ 20:23a16z Podcast | Breaking Into Bio
AssertionNot checkable as stated
Koller: insitro operates a unique data factory generating biological data on spec
“So one of the things that we have at Insitro that is truly unique is we have a data factory. We have put together the tools that have been developed by people who are taking pluripotent stem cells, which are cells from you or me or anyone in this audience and …”
Daphne KollerSep 25, 2023▶ 3:43Digital Biology with insitro's Daphne Koller
AssertionOpen · timeframe Sep 2026
Koller: Insitro runs genome-wide CRISPR screens in two weeks
“When they're all in a pool, you eliminate all of those artifacts, and all of a sudden you have the ability to measure a genome-wide CRISPR screen, basically, so, 20,000 genes in the genome, all modifying the same cellular background in the same dish with a dif…”
Daphne KollerSep 25, 2023▶ 6:07Digital Biology with insitro's Daphne Koller
AssertionNot checkable as stated
Koller: Human technician variance is a primary signal in biological ML
“When you do biological experiments, one of the strongest signals when you apply machine learning to it is what was the technician who actually did the experiments? You could read that very clearly off the cells because they behave a little bit differently.”
Daphne KollerSep 25, 2023▶ 16:23Digital Biology with insitro's Daphne Koller
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