Speaker Profile

Ph.D., CSO & Co-Founder, Prism AI

Biography
In her research, Orly Alter develops quantum mechanics-based multi-tensor AIML, which, as she prospectively and retrospectively experimentally validated, is uniquely able to discover accurate, precise, clinically actionable, and mechanistically interpretable predictors from small-cohort and noisy, high-dimensional multi-omic data. Alter is the CSO and a co-founder of Prism AI Therapeutics, Inc., a USTAR associate professor at the Scientific Computing and Imaging Institute and the Huntsman Cancer Institute at the University of Utah, and a scientific advisory board member of the NCI-DOE Cancer Moonshot collaboration on predictive oncology. As a genetics postdoctoral fellow at Stanford University, she invented the concept of the eigengene, in a top ten most cited PNAS paper of the year 2000 and a top 50 most cited PNAS paper of all time. Her Ph.D. thesis in applied physics at Stanford University was published by Wiley, and is recognized as crucial to gravitational wave detection and quantum computing.


 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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