Daphne Koller — Digital Biology and the Next Epoch of Science
Daphne Koller — Digital Biology and the Next Epoch of Science  
Podcast: Gradient Dissent: Conversations on AI
Published On: Thu Feb 18 2021
Description: 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/jobshttps://www.engageli.com/https://www.coursera.org/Follow Daphne on Twitter: https://twitter.com/DaphneKollerhttps://www.linkedin.com/in/daphne-koller-4053a820/Topics covered:0:00​ Giving back and intro2:10​ insitro's mission statement and Eroom's Law3:21​ The drug discovery process and how ML helps10:05​ Protein folding15:48​ From 2004 to now, what's changed?22:09​ On the availability of biology and vision datasets26:17​ Cross-functional collaboration at insitro28:18​ On teaching and founding Coursera31:56​ The origins of Engageli36:38​ Probabilistic graphic models39:33​ Most underrated topic in ML43:43​ Biggest day-to-day challengesGet our podcast on these other platforms:Apple Podcasts: http://wandb.me/apple-podcastsSpotify: http://wandb.me/spotifyGoogle: http://wandb.me/google-podcastsYouTube: http://wandb.me/youtubeSoundcloud: http://wandb.me/soundcloudTune in to our bi-weekly virtual salon and listen to industry leaders and researchers in machine learning share their research:http://wandb.me/salonJoin our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning:http://wandb.me/slackOur 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