Speaker Profile
PMWC LUMINARY AWARD
Ph.D., CEO and Founder, Insitro
Biography
Daphne Koller is CEO and Founder of insitro, a machine learning driven 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, co-CEO 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).
Session Abstract – PMWC 2027 Silicon Valley
Track Chair:
Sharat Israni, UCSF
PMWC Award Ceremony
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P. Langlotz, Stanford University
Keynote: The Future of AI in Medical Imaging
• Curtis P. Langlotz, Stanford University
From Foundation Models to Digital Twins: AI Reshaping Clinical Imaging
• Chair: Alexander Weir, Canon Medical
• Regina Barzilay, MIT
• Kevin Blyth, University of Glasgow
• Curtis P. Langlotz, Stanford University
Fireside Chat
• Eric Horvitz, Microsoft
• Curtis P. Langlotz, Stanford University
Getting Real Results from AI
• Martin Stumpe, Danaher
Keynote: AI Tools for Cancer Diagnostics and Treatment
• Regina Barzilay, MIT
From Multimodal Data to Clinical Digital Twins: Linking Imaging, Omics, and Decisions
• Stephen Quake, Stanford
AI & Omics Foundation Models Powering Translational Research
• Chair: Janusz Dutkowski, Data4Cure
• Alex Moreau, Champions Oncology
• Jadwiga Bienkowska, Pfizer
AI-Enhanced Imaging: Radiomics, Radiogenomics, and Simulation
• Chair: Chris Hare, Canon Medical
• Ángel Alberich-Bayarri, Quibim
• Kevin Blyth, University of Glasgow
• Maria del Mar Alvarez-Torres, Columbia University
Clinical Workflow Integration & Decision Support in Imaging
• Chair: Sharat Israni, UCSF
• David S. Liebeskind, UCLA
• Rajesh Shah, UCSF
• Roxana Daneshjou, Stanford University
• Mohammad Alexanderani, U Pitt
• Orly Ardon, Memorial Sloan Kettering Cancer Center
AI-Powered Serverless HPC for Scientific Discovery
• Fengbo Ren, Fovus
