Lex Fridman PodcastDaphne Koller: Biomedicine and Machine Learning | Lex Fridman Podcast #93
Episode Details
EPISODE INFO
- Released
- May 5, 2020
- Duration
- 1h 12m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Daphne Koller is a professor of computer science at Stanford University, a co-founder of Coursera with Andrew Ng and Founder and CEO of insitro, a company at the intersection of machine learning and biomedicine. Support this podcast by signing up with these sponsors:
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EPISODE LINKS: Daphne's Twitter: https://twitter.com/daphnekoller Daphne's Website: https://ai.stanford.edu/users/koller/index.html Insitro: http://insitro.com PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 2:22 - Will we one day cure all disease? 6:31 - Longevity 10:16 - Role of machine learning in treating diseases 13:05 - A personal journey to medicine 16:25 - Insitro and disease-in-a-dish models 33:25 - What diseases can be helped with disease-in-a-dish approaches? 36:43 - Coursera and education 49:04 - Advice to people interested in AI 50:52 - Beautiful idea in deep learning 55:10 - Uncertainty in AI 58:29 - AGI and AI safety 1:06:52 - Are most people good? 1:09:04 - Meaning of life CONNECT:
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SPEAKERS
Lex Fridman
hostDaphne Koller
guest
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Daphne Koller, Daphne Koller: Biomedicine and Machine Learning | Lex Fridman Podcast #93 explores daphne Koller on using machine learning to reinvent drug discovery Daphne Koller discusses how modern machine learning, coupled with new biological tools, can transform our understanding of disease and the drug discovery process. She explains the limits of current medical knowledge, especially for complex, heterogeneous diseases like Alzheimer’s and schizophrenia, and why traditional animal models often fail. Koller describes insitro’s strategy of building large, high-quality “disease-in-a-dish” datasets using stem cells, CRISPR, and advanced cellular measurements, then learning predictive models to find effective interventions. The conversation also touches on MOOCs and global education, AI safety and uncertainty, and her broader philosophy about impact, ethics, and the meaning of a good life.
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