School of Medicine

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  • Jack O'Sullivan

    Jack O'Sullivan

    Postdoctoral Research Fellow, Cardiovascular Medicine

    Bio I am an Australian physician (MD, PhD) currently working as a Post-Doctoral Research Fellow at Stanford University. I am jointly supervised by Professor Euan Ashley and Professor John Ioannidis and am an active member of both labs: the Ashley Lab and Meta-Research Innovation Center at Stanford (METRICS, Ioannidis).

    My fellowship concerns the diagnosis and risk prediction of cardiovascular disease. I employ a variety of statistical methods to assess new diagnostic technologies, such as smart phones and smart wearables, and my work also extends to computational cardiac genetics. The data sources I utilize to conduct my research are numerous, but include large datasets such as the UK Biobank, as well as publicly available dataset (meta-analysis and meta-research). I have also previously used large electronic health records (>250 million EHRs).

    Aside from my own research prioritizes (above), I also work on studies conducted collaboratively within the Ashley Lab, the Division of Cardiovascular Medicine and METRICS. These studies broadly include digital health randomized controlled trials (RCTs) and meta-research (including statistical methods such as meta-analysis, meta-regression etc).

    I previously completed a DPhil (PhD) in clinical epidemiology at the University of Oxford as a Clarendon Scholar. The title of My DPhil thesis was: “Biostatistical and meta-research approaches to assess diagnostic tests”. My published research is available at my google scholar page ( and some of my code is publicly available at my GitHub (

    Beyond academic institutions, I also consult to the World Health Organization (WHO); including on WHO guidelines, where I am currently the methodological chair for a WHO guideline concerning the early(ier) detection of disease in adults. I also work as an associate editor at one of the BMJ sub-journals: BMJ EBM. During my DPhil I worked clinically at Oxford University Hospitals (John Radcliffe Hospital) and intend to return to clinical practice as a Physician-Scientist at Stanford upon the completion of my research Fellowship.

    You can follow me on twitter ( where you will find me tweeting about statistics, surfing, cardiology, medicine, epidemiology, health policy, and, occasionally, politics.

  • David Ouyang

    David Ouyang

    Postdoctoral Medical Fellow, Cardiovascular Medicine

    Bio Physician-statistician interested in cardiology, data visualization, machine learning, and the statistical analysis of large datasets.