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 2025 Silicon Valley
Track Chair:
Gad Getz, Broad Institute
- PMWC 2025 Luminary Award
Luminary Honoree: Jensen Huang, Nvidia
- Continued Jensen Huang, Nvidia
- Predictive Modeling for Drug Development
- Luca Emili, InSilicoTrials
- Knowledge Graphs, LLMs & Foundation Models for Enhanced Drug Development
- Janusz Dutkowski, Data4Cure
- Paul Rejto, Pfizer
- PMWC Showcase
- Peter Ellman, Certis Oncology
- Beyond LLMs: Harnessing Advanced AI Models for Genomics and Transcriptomics (PANEL)
Chair: Gad Getz, Broad Institute
- Yasin Şenbabaoğlu, CZ Biohub San Francisco
- Orly Alter, PrismAI
- Nicolo Fusi, Microsoft - Empowering AI in Precision Medicine with Federated Data Platforms
- Noah Nasser, Datma
- Advancing Global Health through Data Sharing: Practical Strategies and Success Stories (PANEL)
Chair: Luca Foschinii, Sage Bionetworks
- Peter Goodhand, GA4GH
- Karen Miga, UCSC
- Philip Awadalla, Ontario Institute for Cancer Research
- Driving Drug Discovery With Low-cost Foundational Omics Datasets
- Gilad Almogy, Ultima Genomics
- Johnny Yu, Vevo Therapeutics
- Stacie Calad-Thomson, NVDIA - Enabling Targeted Precision Drug & Gene Delivery with Predictive AI
- Andre Watson, Ligandal Inc.
- Quantum Leap: The Future of AI and Machine Learning with Quantum Computing
- Matthias Troyer, Microsoft
