Speaker Profile

Ph.D., Director of Data Science, CZ Biohub San Francisco

Biography
Dr. Yasin Şenbabaoğlu (SHEN-buhbuh-o-loo) holds a PhD from University of Michigan Ann Arbor and has extensive experience in the biotechnology industry. Dr. Şenbabaoğlu has previously worked at Genentech, where he served in various roles including Senior Principal Scientist in Multimodality AI and Principal Scientist in Oncology Bioinformatics. His responsibilities at Genentech included target discovery and validation in cancer immunotherapy, translational research in cancer immunology, and the application of machine learning for patient and sample selection. Prior to Genentech, he was a Senior Research Scientist at Memorial Sloan Kettering Cancer Center, where he collaborated on cancer immunology projects and set up bioinformatics pipelines. Dr. Şenbabaoğlu's expertise spans machine learning, spatial AI, statistical modeling, bioinformatics, cancer immunology, tumor microenvironment, and molecular oncology.


 Session Abstract – PMWC 2025 Silicon Valley

Track 2 - February 7 9.00 A.M.-3.00 P.M.


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

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