Speaker Profile

Ph.D., CEO and Founder, Insitro

Biography
Daphne Koller is CEO and Founder of insitro, a machine learningdriven drug discovery and development company. Daphne is also cofounder of Engageli, was the Rajeev Motwani Professor of Computer Science at Stanford University, where she served on the faculty for 18 years, coCEO and President of Coursera, and Chief Computing Officer of Calico Labs. She is the author of over 300 refereed publications, with an hindex of over 145. Daphne was named one of TIME Magazines 100 most influential people in 2012. She received the MacArthur Foundation Fellowship (2004), ACM Prize in Computing (2008), ACM AAAI Allen Newell Award (2019), and AnitaB.org Technical Leadership Abie Award Winner (2022). Daphne was inducted into the National Academy of Science (2023), the National Academy of Engineering (2011) and elected a fellow of the American Association for Artificial Intelligence (2004), the American Academy of Arts and Sciences (2014), and the International Society of Computational Biology (2017).


Talk
Machine Learning for Therapeutic Discovery
Please see synopsis sent via email. It will not fit here.


 Session Abstract – PMWC 2024 Silicon Valley

Track 2 - January 26 9.00 A.M.-3.45 P.M.


Track Chair:
Gad Getz, Broad Institute

  • PMWC 2024 Luminary Award
    Luminary Honoree: Heidi Rehm, MGH and Broad Institute
  • Opening Talk: The Power of Data by Track Chair Gaddy Getz, Broad Institute
  • Global Data Sharing Collaboration: Overcoming Organizational and Sectoral Barriers (PANEL)
    Chair: Gad Getz, Broad Institute
    - Peter Goodhand, GA4GH
    - Valentina Di Francesco, NHGRI
  • Challenges of Remote Data Harmonization and Querying
    Chair: Heidi Rhem, MGH and Broad Institute
    - Andrea Ramirez, All of Us
    - Simona Carini, UCSF
    - Josh Peterson, Emerge/Vanderbilt University Medical Center
    - Nara Sobreira, Johns Hopkins/GeneMatcher
  • Keynote: Machine Learning for Therapeutic Discovery
    - Daphne Koller, insitro
  • Exploring the Power of AI and Data Sciences in Drug Discovery
    Chair: Russ Altman, Stanford University
    - Kim Branson, GSK
    - Sun-Gou Ji, BridgeBio
    - Angela Oliveira Pisco, Insitro
  • Foundation Models to Advance Precision Medicine (PANEL)
    Chair: Nigam Shah, Stanford
    - Aashima Gupta, Google
    - Matthew Lungren, Microsoft
    - Rod Tarrago, AWS

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