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UID:20250918T165532EDT-83912bLwXa@132.216.98.100
DTSTAMP:20250918T205532Z
DESCRIPTION:James Zou\, PhD\n\nAssociate Professor of Biomedical Data Scien
 ce\n	CS and EE at Stanford University\n\nNOTE: Meet & Greet Prof James Zou 
 from 3-3:30pm in Room 1140\n\nWHEN: Wednesday\, September 24\, 2025\, from
  3:30 to 4:30 p.m.\n	WHERE: Hybrid | 2001 ºÚÁϲ»´òìÈ College Avenue\, Rm 1140\;
  Zoom\n	NOTE: James Zou will be presenting virtually from Stanford Universi
 ty\n	 \n\nAbstract\n\nAI agents—large language models equipped with tools a
 nd reasoning capabilities—are emerging as powerful research enablers. This
  talk will explore how agentic AI can facilitate research and peer review.
  I’ll first introduce the Virtual Lab—a collaborative team of AI scientist
  agents conducting in silico research meetings to tackle open-ended resear
 ch projects. As an example application\, the Virtual Lab designed new nano
 body binders to recent Covid variants that we experimentally validated. Th
 en I will present CellVoyager\, a data science agent that analyzes complex
  genomics data to derive new insights. Finally I will introduce Paper2Agen
 t\, a framework to automatically convert passive research papers into inte
 ractive AI agents.\n\n\n	Speaker Bio\n\nJames Zou is an associate professor
  of Biomedical Data Science\, CS and EE at Stanford University. He works o
 n developing cutting-edge AI for biomedical applications. His group develo
 ped many widely used innovations including EchoNet AI (FDA cleared for ass
 essing cardiac function)\, Gradio (used by over a million developers)\, an
 d SyntheMol (NY Times 2024 Good Tech). He has received the Overton Prize\,
  Sloan Fellowship\, NSF CAREER Award\, two Chan-Zuckerberg Investigator Aw
 ards\, a Top Ten Clinical Achievement Award\, best paper awards at ICML an
 d other AI conferences\, and faculty awards from Google\, Amazon\, Adobe a
 nd Apple. Website: www.james-zou.com.\n
DTSTART:20250924T193000Z
DTEND:20250924T203000Z
SUMMARY:AI Agents to Automate Biomedical Discoveries 
URL:/epi-biostat-occh/channels/event/ai-agents-automat
 e-biomedical-discoveries-367799
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