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Biologics and active learning in ML with Peyton Greenside (BigHat Biosciences)
Manage episode 277770867 series 2769784
Can we create new biological therapies with machine-guided design? Today I chat with Peyton Greenside, Co-Founder and CSO of BigHat Biosciences, on using machine learning to design therapeutic proteins, the advantages of using "smart" data over "big" data, and the importance of interpretability.
Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary
--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support25 episodes
Manage episode 277770867 series 2769784
Can we create new biological therapies with machine-guided design? Today I chat with Peyton Greenside, Co-Founder and CSO of BigHat Biosciences, on using machine learning to design therapeutic proteins, the advantages of using "smart" data over "big" data, and the importance of interpretability.
Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary
--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support25 episodes
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