Speaker Profile
Biography
Dr. Awadallas main research interests include identifying genomic determinants of blood disorders and cancers, understanding mutation and recombination biology and genomic epidemiology of age-related disorders in population cohorts. Dr. Awadalla leads Canadas largest longitudinal population cohorts to develop precision medicine research and understand the genetic and environmental contributors to disease development. His major projects include genomics of aging, hematological diseases and cancers. Other projects include the genetic and environmental control points for healthy aging, and the development of machine learning approaches to integrate multiple genomic and phenotypic data to predict health outcomes. He is the National Scientific Director of Canadian Partnership for Tomorrows Health, is Director of Computational Biology and the Executive Scientific Director of Ontario Health Study at the Ontario Institute for Cancer Research and is a Professor of in the Molecular Genetics Department and Dalla Lana School of Public Health at the University of Toronto.
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