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SUMMARY:AI Center Seminar - AI for Science series - Jonah Cool\, PhD
DTSTART:20260505T143000
DTEND:20260505T153000
DTSTAMP:20260410T173804Z
UID:6d82b23e56889a9fd3aadcd577c61879c51453d75c7fe9efc9ba9ec9
CATEGORIES:Conferences - Seminars
DESCRIPTION:Jonah Cool\, PhD\nThe talk is jointly organized by the EPFL 
 AI Center and the AIMM Lab as part of the AI for Science seminar serie
 s.\n\nHosting professor: Prof. Charlotte Bunne (AIMM)\n\nThis event is res
 tricted to EPFL members. Registration with an EPFL email is required: HERE
 .\n\nTitle\nAI for Science at Anthropic: Building Tools for Scientific Dis
 covery\n\nAbstract\nThis talk will explore Anthropic's approach to develop
 ing AI systems that can meaningfully accelerate scientific research. I'll 
 discuss our AI for Science program\, share examples of how researchers are
  using Claude across domains from molecular biology to materials science\,
  and outline our thinking on what makes AI genuinely useful for working sc
 ientists. I'll also touch on the Model Context Protocol (MCP) and how it e
 nables integration with scientific tools and data sources.\n\nBio\nJonah C
 ool leads life sciences partnerships and deployment at Anthropic\, where h
 e works directly with researchers\, academic institutions\, and biotech st
 artups to apply frontier AI to scientific discovery. His focus is on under
 standing where large language models can meaningfully accelerate biologica
 l research and building the partnerships\, evaluation frameworks\, and dep
 loyment practices to make that happen responsibly.\n\nBefore Anthropic\, J
 onah served as VP of Science & Partnerships at the Chan Zuckerberg Initiat
 ive\, where he launched the Single Cell Biology program and led cross-sect
 or technology development spanning biotech\, academia\, and philanthropy. 
 He holds a PhD in cell biology (AHA fellow) and completed a postdoctoral f
 ellowship at the Salk Institute (NIH fellow). His career has moved across 
 academia\, biotech startups\, large-scale philanthropy\, and now frontier 
 AI\, connected by a consistent focus on finding the leverage points where 
 new technology can change how science gets done.
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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