Joe Zhang

Wellcome Research Fellow at Institute of Global Health Innovation
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Contact Information
us****@****om
(386) 825-5501
Location
London, England, United Kingdom, UK

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Credentials

  • Fellowship of the Faculty of Clinical Informatics
    Faculty of Clinical Informatics
    Dec, 2022
    - Nov, 2024
  • Machine Learning
    Stanford University
    Oct, 2020
    - Nov, 2024
  • Membership of the Royal College of Physicians
    Royal College of Physicians
    Jun, 2016
    - Nov, 2024

Experience

    • United Kingdom
    • Research
    • 1 - 100 Employee
    • Wellcome Research Fellow
      • Aug 2021 - Present

      Clinician academic in health data and responsible AI • Evaluating impact and fairness of predictive models deployed in NHS • Developing representation learning methods for fair prediction • PhD candidate in data-centric artificial intelligence Clinician academic in health data and responsible AI • Evaluating impact and fairness of predictive models deployed in NHS • Developing representation learning methods for fair prediction • PhD candidate in data-centric artificial intelligence

    • Hospitals and Health Care
    • 700 & Above Employee
    • Population Health AI Platform Owner
      • Feb 2022 - Present

      Secondment to develop population health AI platform for 2 million patients in NEL ICB (Snowflake / Dataiku) • Designing and executing implementation strategy • Delivering successful MVP to secure operational funding • Building models for demand forecasting, case-finding, and personalised risk prediction

    • Clinical Data Scientist
      • Aug 2016 - Feb 2022

      Building data and AI capabilities for SE/NE London Trusts • Led development of national COVID-19 critical care referrals database for >100 hospitals, deploying ML for phenotyping and stratification • Co-PI for largest (to date) RWE study of ECMO life support as an intervention • Linking multi-site EHR into common data model to support pathway analytics and research

    • United Kingdom
    • Hospitals and Health Care
    • 700 & Above Employee
    • Intensive Care Specialty Doctor (ECMO)
      • Aug 2019 - Jul 2023

      Senior fellowship in severe respiratory failure, conducting nationwide retrievals of critically unwell COVID-19 patients throughout pandemic on emergency heart lung bypass (ECMO). Senior fellowship in severe respiratory failure, conducting nationwide retrievals of critically unwell COVID-19 patients throughout pandemic on emergency heart lung bypass (ECMO).

    • United Kingdom
    • Hospitals and Health Care
    • 700 & Above Employee
    • Intensive Care Specialty Doctor
      • Aug 2017 - Jul 2019

      Specialty training in Intensive Care Medicine with team leadership and major trauma experience, including major incident response.

    • Internal Medicine Doctor
      • Aug 2014 - Jul 2017

      Internal medicine training achieving Membership of Royal College of Physicians, and fellowship year in intensive care.

    • United Kingdom
    • Hospitals and Health Care
    • 700 & Above Employee
    • Foundation Doctor
      • Aug 2012 - Jul 2014

Education

  • University of Oxford
    BM BCh, Medicine and Surgery
    2006 - 2012
  • Imperial College London
    PhD, Data-centric Artificial Intelligence
    2021 - 2024
  • University of Oxford
    MA(Oxon), Medical Sciences
    2009 - 2009

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