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: – Cash App – use code “LexPodcast” and download: – Cash App (App Store): https://apple.co/2sPrUHe – Cash App (Google Play): https://bit.ly/2MlvP5w EPISODE LINKS: Daphne’s Twitter: https://twitter.com/daphnekoller Daphne’s Website: https://ai.stanford.edu/users/koller/index.html Insitro: http://insitro.com This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. OUTLINE: 00:00 – Introduction 02:22 – Will we one day cure all disease? 06:31 – 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

Join Daphne Koller, a pioneering computer scientist and executive in AI-driven drug discovery, as she discusses her groundbreaking work at insitro. She reveals how AI and machine learning are transforming drug development, enhancing speed and accuracy in research. Koller shares insights on the evolution of drug discovery, the significance of synthetic data, and the balance between personalized and precision medicine. Delve into her journey from academia to industry and explore the ethical implications of data usage in healthcare.

Discussions on the convergence of AI and digital biology, exponential growth in AI technology, implications for drug discovery, aging interventions, and the innovative platform approach to revolutionize drug discovery by merging engineering, data, and machine learning.

Dr. Daphne Koller, an AI and health care expert, discusses her evolution from theoretical AI to practical machine learning applications. She explores the challenges of applying AI to biology and highlights its potential in drug discovery. Koller advocates for democratizing AI to enable broader participation in scientific inquiry.

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