Speaker Profile
PMWC LUMINARY AWARD
Scaled modern AI from research into real-world precision medicine applications
Ph.D., Managing Partner, AI Aspire, Managing General Partner, AI Fund; Chairman and Co-Founder, Coursera; Adjunct Professor, Stanford University; Founder, DeepLearning.AI
Biography
Andrew Ng is one of the most influential leaders in modern artificial intelligence and AI education. He is Founder of DeepLearning.AI, Managing Partner, AI Aspire, Managing General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University. He was the founding lead of Google Brain and previously served as VP and Chief Scientist at Baidu, helping move deep learning from research into large-scale real-world use.
Through his teaching, writing, companies, and investments, Ng has helped make AI accessible to millions of learners and practical for researchers, entrepreneurs, engineers, clinicians, and enterprises. His work has shaped how AI is taught, built, and deployed across industries, an impact especially relevant to precision medicine, where responsible AI is becoming central to interpreting complex clinical, molecular, imaging, and multi-omic data.
Talk
Fireside Chat
Agentic AI in medicine
Democratizing AI for clinicians and researchers
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
