Speaker Profile

PMWC LUMINARY AWARD
Markedly improved rare disease diagnosis and testing through enhancement of tools and standards for genomics

PhD, Professor, MGH & Broad Inst.

Biography
Heidi Rehm is a renowned human geneticist and genomic medicine researcher who has made significant contributions to the field of genomics including developing and implementing new approaches, standards and resources to improve genetic testing and diagnosis for rare diseases. She holds several prominent positions including a chief genomics officer role to apply genomics to clinical care across MGH. She is also the codirector of the Program in Medical and Population Genetics at the Broad Institute of MIT and Harvard, where she coleads several initiatives to advance genomic medicine research including the Broad Center for Mendelian Genomics involved in rare disease gene discovery, as well as the Clinical Genome Resource (ClinGen) and Genome Aggregation Database (gnomAD), providing free and publicly accessible resources to support the interpretation of genes and variants. She is the recipient of the Curt Stern Award from the American Society of Human Genetics and has published over 250 peer reviewed papers.


 Session Abstract – PMWC 2024 Silicon Valley

Track 2 - January 26 9.00 A.M.-4.00 P.M.


Track Chair:
Gad Getz, Broad Institute

  • PMWC 2024 Luminary Award
    Luminary Honoree: Heidi Rehm, MGH and Broad Institute
  • Opening Talk: The Power of Data by Track Chair Gaddy Getz, Broad Institute
  • Challenges of Remote Data Harmonization and Querying (PANEL)
    Chair: Heidi Rhem, MGH and Broad Institute
    - Chris Lunt, All of Us
    - Simona Carini, UCSF
    - Josh Peterson, Emerge/Vanderbilt University Medical Center
    - Nara Sobreira, Johns Hopkins/GeneMatcher
  • Promoting Global Collaboration for Data Sharing: Overcoming Organizational and Sectoral Barriers (PANEL)
    Chair: Gad Getz, Broad Institute
    - Peter Goodhand, GA4GH
    - Valentina Di Francesco, NHGRI
    - Melanie Courtot, ICGC-ARGO
    - Erica Galvez, Manifest MedEx
  • Keynote: Machine Learning for Therapeutic Discovery
    - Daphne Koller, insitro
  • Exploring the Power of AI and Data Sciences in Drug Discovery (PANEL)
    Chair: Michelle Chen, Insilico Medicine
    - Kim Branson, GSK
    - Laszlo Radvanyi, Ontario Institute for Cancer Research
    - Martin Stumpe, Tempus
    - Sun-Gou Ji, BridgeBio
    - Angela Oliveira Pisco, Insitro
  • Foundation Models to Advance Precision Medicine (PANEL)
    Chair: Nigam Shah, Stanford
    - Aashima Gupta, Google
    - Rod Tarrago, AWS
    - Lana Feng, Huma.ai
  • PMWC Showcase
    - Janusz Dutkowski, Data4Cure

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