Speaker Profile

MD, PhD, SVP Global Head of Artificial Intelligence and Machine Learning, GSK

Biography
Dr Kim Branson is a world renowned expert in AI and machine learning (ML). With over 20 years of industry experience, he leads a team of ML researchers and engineers at GSK focussed on applying AI to drug discovery and development. Dr Branson's expertise lies in modelling and machine learning for drug and vaccine discovery, combining perspectives from academia to technology startup. His leadership has helped GSK build one of the industry's most successful inhouse AI departments, leveraging the potential of complex genetic data to maximise GSK's industry leading collaborations. Prior to joining GSK, Dr Branson was the Head of AI, Early Clinical Development at Genentech. He was also involved in various largescalelarge scale machine learning and medical informatics initiatives, ranging from computational drug design to disease risk prediction. By leveraging the potential of complex genetic data through AI and ML, GSK can accelerate the translation of scientific knowledge into new drugs and therapies for patients.


 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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