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UID:873@fds.yale.edu
DTSTART;TZID=America/New_York:20250909T110000
DTEND;TZID=America/New_York:20250909T130000
DTSTAMP:20250916T142153Z
URL:https://fds.yale.edu/events/ai-agents-for-biomedical-discoveries/
SUMMARY:AI Agents for Biomedical Discoveries
DESCRIPTION:\nTalk Summary: AI agents are transforming how we do science. I
 n this talk\, Dr. James Zou will showcase how intelligent\, tool-using lan
 guage models are accelerating discovery and improving peer review. He’ll
  introduce Virtual Lab\, where AI scientist agents collaborate to solve re
 search problems—like designing nanobody treatments for COVID-19 variants
 . He’ll also demo CellVoyager\, which uncovers insights from complex gen
 omics data\, and Review Feedback Agent\, used at ICLR 2025 to enhance over
  20\,000 peer reviews. The tutorial will highlight lessons from building a
 nd deploying these systems—and what they mean for the future of research
 .\n\n\n\nSpeaker bio: James Zou is an Associate Professor of Biomedical Da
 ta Science at Stanford University\, with courtesy appointments in Computer
  Science and Electrical Engineering. His research focuses on developing ar
 tificial intelligence that is more reliable\, human-compatible\, and stati
 stically rigorous\, with applications to human health and disease. He rece
 ived his Ph.D. from Harvard University in 2014\, and has previously been a
  member of Microsoft Research\, a Gates Scholar at Cambridge\, and a Simon
 s Fellow at UC Berkeley. Since joining Stanford in 2016\, he has also serv
 ed as a Chan Zuckerberg Investigator and a member of the Stanford AI Lab. 
 His work has been recognized with two Chan Zuckerberg Biohub Investigator 
 Awards\, the Sloan Fellowship\, the NSF CAREER Award\, a Top Ten Clinical 
 Achievement Award\, and faculty awards from Google\, Adobe\, and Amazon.\n
 \n\n\nThe event is free. Registration is required. Register here: https://
 ysph.yale.edu/event/ai-agents-for-biomedical-discoveries/\n
CATEGORIES:FDS Events,Public Health Data Science Data Equity
LOCATION:Yale Institute for Foundations of Data Science\, Kline Tower 13th 
 Floor\, Room 1327\, New Haven\, CT\, 06511\, United States
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