46 min
Daphne Koller — Digital Biology and the Next Epoch of Science Gradient Dissent: Conversations on AI
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- Technology
From teaching at Stanford to co-founding Coursera, insitro, and Engageli, Daphne Koller reflects on the importance of education, giving back, and cross-functional research.
Daphne Koller is the founder and CEO of insitro, a company using machine learning to rethink drug discovery and development. She is a MacArthur Fellowship recipient, member of the National Academy of Engineering, member of the American Academy of Arts and Science, and has been a Professor in the Department of Computer Science at Stanford University. In 2012, Daphne co-founded Coursera, one of the world's largest online education platforms. She is also a co-founder of Engageli, a digital platform designed to optimize student success.
https://www.insitro.com/
https://www.insitro.com/jobs
https://www.engageli.com/
https://www.coursera.org/
Follow Daphne on Twitter: https://twitter.com/DaphneKoller
https://www.linkedin.com/in/daphne-koller-4053a820/
Topics covered:
0:00 Giving back and intro
2:10 insitro's mission statement and Eroom's Law
3:21 The drug discovery process and how ML helps
10:05 Protein folding
15:48 From 2004 to now, what's changed?
22:09 On the availability of biology and vision datasets
26:17 Cross-functional collaboration at insitro
28:18 On teaching and founding Coursera
31:56 The origins of Engageli
36:38 Probabilistic graphic models
39:33 Most underrated topic in ML
43:43 Biggest day-to-day challenges
Get our podcast on these other platforms:
Apple Podcasts: http://wandb.me/apple-podcasts
Spotify: http://wandb.me/spotify
Google: http://wandb.me/google-podcasts
YouTube: http://wandb.me/youtube
Soundcloud: http://wandb.me/soundcloud
Tune in to our bi-weekly virtual salon and listen to industry leaders and researchers in machine learning share their research:
http://wandb.me/salon
Join our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning:
http://wandb.me/slack
Our gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices:
https://wandb.ai/gallery
From teaching at Stanford to co-founding Coursera, insitro, and Engageli, Daphne Koller reflects on the importance of education, giving back, and cross-functional research.
Daphne Koller is the founder and CEO of insitro, a company using machine learning to rethink drug discovery and development. She is a MacArthur Fellowship recipient, member of the National Academy of Engineering, member of the American Academy of Arts and Science, and has been a Professor in the Department of Computer Science at Stanford University. In 2012, Daphne co-founded Coursera, one of the world's largest online education platforms. She is also a co-founder of Engageli, a digital platform designed to optimize student success.
https://www.insitro.com/
https://www.insitro.com/jobs
https://www.engageli.com/
https://www.coursera.org/
Follow Daphne on Twitter: https://twitter.com/DaphneKoller
https://www.linkedin.com/in/daphne-koller-4053a820/
Topics covered:
0:00 Giving back and intro
2:10 insitro's mission statement and Eroom's Law
3:21 The drug discovery process and how ML helps
10:05 Protein folding
15:48 From 2004 to now, what's changed?
22:09 On the availability of biology and vision datasets
26:17 Cross-functional collaboration at insitro
28:18 On teaching and founding Coursera
31:56 The origins of Engageli
36:38 Probabilistic graphic models
39:33 Most underrated topic in ML
43:43 Biggest day-to-day challenges
Get our podcast on these other platforms:
Apple Podcasts: http://wandb.me/apple-podcasts
Spotify: http://wandb.me/spotify
Google: http://wandb.me/google-podcasts
YouTube: http://wandb.me/youtube
Soundcloud: http://wandb.me/soundcloud
Tune in to our bi-weekly virtual salon and listen to industry leaders and researchers in machine learning share their research:
http://wandb.me/salon
Join our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning:
http://wandb.me/slack
Our gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices:
https://wandb.ai/gallery
46 min
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