Speaker Profile

Ph.D., Director, Professor, Ontario Inst. for Cancer Research

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 2 - February 7 9.00 A.M.-2.45 P.M.


Track Chair:
Gad Getz, Broad Institute

  • PMWC 2025 Luminary Award
    Luminary Honoree: Jensen Huang, Nvidia
  • Keynote
    - Jensen Huang, Nvidia
  • AI Horizons in Precision Medicine: Decoding Tomorrow’s Innovations
    Chair: TBA
    - Ken Drazan, ArsenalBio
  • Beyond LLMs: Harnessing Advanced AI Models for Genomics and Transcriptomics (PANEL)
    Chair: Gad Getz, Broad Institute
    - Yasin Şenbabaoğlu, CZ Biohub San Francisco
    - Asaf Zifran, PrismAI
  • Advancing Global Health through Data Sharing: Practical Strategies and Success Stories (PANEL)
    Chair: Peter Goodhand, GA4GH
    - Chris Lunt, All of Us
    - Karen Miga, UCSC
    - Philip Awadalla, Ontario Institute for Cancer Research
  • Knowledge Graphs, LLMs & Foundation Models for Enhanced Drug Development
    - Janusz Dutkowski, Data4Cure
    - Paul Rejto, Pfizer
  • Quantum Leap: The Future of AI and Machine Learning with Quantum Computing
    Chair: Matthias Troyer, Microsoft
    - Yudong Cao, Zapata Computing

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