Speaker Profile
Ph.D., Director, Cancer Genome Analysis & Professor of Pathology, MGH & Broad Inst.
Biography
Dr. Getz is an internationally acclaimed leader in cancer genomics and is pioneering widely used tools for analyzing cancer genomes. Dr. Getz is a Professor of Pathology at Harvard Medical School. He is the Director of Bioinformatics at the Massachusetts General Hospital (MGH) Cancer Center and Department of Pathology, and is an Institute Member of the Broad Institute of MIT and Harvard, where he directs the Cancer Genome Computational Analysis Group. He has published over 400 papers in prominent journals describing new methodologies to study cancer genomes that have identified new genes and pathways involved in different tumor types, mutational signatures, and tumor evolution.
Session Abstract – PMWC 2026 Silicon Valley
Track Chairs:
Gad Getz, Broad Institute & Alex Morgan, Khosla Ventures
PMWC Award Ceremony
• Greg Brockman, President & Co-Founder, OpenAI
• Steve Wozniak, Co-Founder, Apple
Fireside Chat
• Vinod Khosla, Khosla Ventures
• Greg Brockman, President & Co-Founder, OpenAI
Target Discovery: Beyond Genomics – Revealing Hidden Layers of Biology with AI
• Keynote: Stephen Quake, CZ Biohub
• Chair: Cindy Lawley, Olink
• Aritro Nath, City of Hope
• Massa Shoura, Phinomics
• Omar Serang, DNAnexus
Foundation Models for Human Biology: Accelerating Immunotherapy Discovery Through Multimodal AI
• Ron Alfa, Noetik
Systems Integration for Drug Discovery and AI
• Hugo Lam, Genentech
Interpretable AI Models for Multi-Modal Biomarker Discovery in Drug Development
• Vitalay Fomin, Numenos
Closing the Loop: Coupling AI with In Vivo Validation
• Gabriel Musso, biosymetrics
Interpretable AI for Biomarker Discovery: Accelerating Drug Development
• Chair: Rajat Roy, PATHOMIQ INC
• Shivanni Kummar, MD, OHSU
Can AI Really Create the Next Blockbuster Drug? Closing the Loop from Discovery to Development
• Chair: Amar Das, Guardant Health
• Ari Caroline, Weave Bio
• Dina Katabi, Emerald/MIT
• Andrei Georgescu, Vivodyne
• James Zou, Stanford
Gemini Digital Twins Accelerate Precision Medicine
• Collin Hill, Aitia
Scaling Rare Disease Discovery with AI: From Genomic Data to Therapeutic Insights
• Lisa Gurry, GeneDx
Enabling Targeted Precision Drug & Gene Delivery with Predictive AI
• Andre Watson, Ligandal
Is AI the New Drug?
• Chair: Alex Morgan, Khosla Ventures
• Michael J. Kahana, Nia Therapeutics
