Dr David Hughes Ph.D

Lecturer in Health Data Science Health Data Science


    Personal Statement

    I am a lecturer in Health Data Science. My statistical research interests include computation methods for approximate Bayesian analysis using Variational Bayes, methods for longitudinal data, and prediction modelling. I work with a wide range of clinical collaborators across a range of disciplines including cancer research, diabetes, epilepsy, rheumatology and mental health.

    I am part of the Civic Health Innovation Lab (CHIL; https://www.liverpool.ac.uk/civic-health-innovation-labs/) using large electronic health records from the region to answer important public health questions. I'm part of a team working with Liverpool City Region Civic Data co-operative, aiming to use advanced data science, statistical and computational methods to answer complex health questions, and implement digital health solutions at scale across Cheshire and Merseyside.

    I'm always interested to hear from potential PhD students who are interested in pursuing a PhD with me in the areas of longitudinal/spatial data modelling, Bayesian computation methods or risk prediction.

    Prizes or Honours

    • Florence Nightingale Award for Excellence in Healthcare Data Analytics (Royal Statistical Society, 2023)
    • Outstanding Contribution During the COVID-19 Pandemic (University of Liverpool, 2022)
    • Research Impact of the Year Award (University of Liverpool, 2022)
    • 2nd Prize in ITM Research Video Competition (Institute of Translational Medicine, University of Liverpool, 2017)
    • Scholarship to attend and present a talk at Workshop on Flexible Models for Longitudinal and Survival Data with Applications in Biostatistics (University of Warwick, 2015)
    • British and Irish Biometric Society/Fisher Memorial Trust Travel Bursary (2016)

    Funded Fellowships

    • UKRI Innovation Fellowship (Medical Research Council (MRC), 2017 - 2020)

    Other Personal Distinctions

    • Bursary to attend 2017 Channel Network Conference (British and Irish Biometric Society, 2017)