Nathan Frey, PhDMachine Learning Scientist, Prescient Design at GenentechSpeaker
Profile
Nathan is a Principal Machine Learning Scientist and Group Leader at Prescient Design, Genentech. At Prescient, he leads the Foundation Models for Drug Discovery team, developing and applying machine learning methods to molecular discovery and design. Previously, Nathan was a Postdoctoral Associate at MIT working with the Lincoln Lab Supercomputing and AI groups. He was a National Defense Science & Engineering Graduate Fellow at the University of Pennsylvania, where he obtained his PhD in Materials Science & Engineering. During graduate school, Nathan was an affiliate scientist with the Materials Project at Berkeley Lab.
Agenda Sessions
Lab-in-the-loop Therapeutic Antibody Design with Deep Learning
, 1:45pmView Session