{"href":"http://player.captivate.fm/services/oembed?url=http%3A%2F%2Fplayer.captivate.fm%2Fepisode%2F086500a6-6d3a-4079-89e4-b061a8981b47","version":"1.0","provider_name":"Captivate.FM","provider_url":"https://www.captivate.fm","width":600,"height":200,"type":"rich","html":"<iframe style=\"width: 100%; height: 200px;\" title=\"Bharath Ramsundar \u2014 Deep Learning for Molecules and Medicine Discovery\" frameborder=\"0\" scrolling=\"no\" allow=\"clipboard-write\" seamless src=\"http://player.captivate.fm/episode/086500a6-6d3a-4079-89e4-b061a8981b47\"></iframe>","title":"Bharath Ramsundar \u2014 Deep Learning for Molecules and Medicine Discovery","description":"Bharath created the deepchem.io open-source project to grow the deep drug discovery open source community, co-created the moleculenet.ai benchmark suite to facilitate development of molecular algorithms, and more. Bharath\u2019s graduate education was supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences. Bharath is the lead author of \u201cTensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning\u201d, a developer\u2019s introduction to modern machine learning, with O\u2019Reilly Media. \n\nToday, Bharath is focused on designing the decentralized protocols that will unlock data and AI to create the next stage of the internet. He received a BA and BS from UC Berkeley in EECS and Mathematics and was valedictorian of his graduating class in mathematics. He did his PhD in computer science at Stanford University where he studied the application of deep-learning to problems in drug-discovery.\n\nFollow Bharath on Twitter and Github\nhttps://twitter.com/rbhar90\nrbharath.github.io\n\nCheck out some of his projects:\nhttps://deepchem.io/\nhttps://moleculenet.ai/\nhttps://scholar.google.com/citations?user=LOdVDNYAAAAJ&hl=en&oi=ao\n\nVisit our podcasts homepage for transcripts and more episodes!\nwww.wandb.com/podcast\n\n\ud83d\udd0a Get our podcast on Apple and Spotify!\nApple Podcasts: https://bit.ly/2WdrUvI\nSpotify: https://bit.ly/2SqtadF\n\nWe started Weights and Biases to build tools for Machine Learning practitioners because we care a lot about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about these building tools has been the conversations with these ML practitioners and learning about the interesting things they\u2019re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it!\n\n\ud83d\udc69\ud83c\udffc\u200d\ud83d\ude80Weights and Biases:\nWe\u2019re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions.\n\n- Blog: https://www.wandb.com/articles\n- Gallery: See what you can create with W&B - https://app.wandb.ai/gallery\n- Continue the conversation on our slack community - http://bit.ly/wandb-forum\n\n\ud83c\udf99Host: Lukas Biewald - https://twitter.com/l2k\n\ud83d\udc69\ud83c\udffc\u200d\ud83d\udcbbProducer: Lavanya Shukla - https://twitter.com/lavanyaai\n\ud83d\udcf9Editor: Cayla Sharp - http://caylasharp.com/","thumbnail_width":300,"thumbnail_height":300,"thumbnail_url":"https://artwork.captivate.fm/61d8c671-ba2e-4936-b355-46123de1b245/artworks-8692qwcmga1vwf4w-agzyrg-t3000x3000.jpg"}