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Harrison Wilde

I am a fourth year PhD student in Statistics supervised primarily by Sebastian Vollmer at the DFKI (German Research Center for Artificial Intelligence). I was the 2019 recipient of the Feuer International Scholarship in Artificial Intelligence. Additionally, I was selected as a 2019 Data Science for Social Good Fellow and continue to support the fellowship and foundation as one of the principal organisers and reviewers for the UK and European programmes.

My research interests include Bayesian and causal computation, learning and modelling theory and methodology with applications in epidemiology, pharmaceuticals and public health, as well as synthetic data generation, fairness and privacy across these contexts.

I mainly work with collaborators across the Universities of Warwick, Oxford, UCL, The Wellcome Trust and The Alan Turing Institute. Specifically, with Chris Holmes' Lab at Oxford, as an honorary research fellow at the UCL Institute of Health Informatics, a member of the CVD-COVID-UK and COVID-IMPACT Consortia, and a core contributor to the Turing PPL.

I previously worked as a research data scientist at Twitter's Cortex research organisation, a research scientist in NHS England's DART, a research scientist at Pumas AI, a visiting researcher at Homeless Link, a researcher at COEXI(S)T, and sat on the committee of the Royal Statistical Society's West Midlands Local Group.

Outside of academia I am an enthusiastic musician, composer and producer, and enjoy cooking, mountain biking and hiking.

Selected first author (or significant primary contributor) publications

Selected other publications

  • Oscar Giles, Kasra Hosseini, Grigorios Mingas, Oliver Strickson, Louise Bowler, Camila Rangel Smith, Harrison Wilde, Jen Ning Lim, Bilal Mateen, Kasun Amarasinghe, Rayid Ghani, Alison Heppenstall, Nik Lomax, Nick Malleson, Martin O'Reilly, Sebastian Vollmer "Faking feature importance: A cautionary tale on the use of differentially-private synthetic data" arXiv (2022)Link opens in a new window.
  • CVD-COVID-UK Consortium Members. "Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource" BMJ (2021)Link opens in a new window
    • Special Paper
  • John M Dennis, Andrew P McGovern, Nicholas J Thomas, Harrison Wilde, Sebastian J Vollmer, Bilal A Mateen. "Trends in 28-Day Mortality of Critical Care Patients With Coronavirus Disease 2019 in the United Kingdom: A National Cohort Study, March 2020 to January 2021" PMC Critical Care Medicine (2021)Link opens in a new window.
  • Gergo Bohner, Gaurav Venkataraman, Bilal A. Mateen, Harrison Wilde, Christopher Rackauckas, Andrew Duncan, Sebastian Vollmer. "Epidemiological modeling under uncertainty - lessons from the ongoing COVID-19 pandemic". arXiv (2020).
  • Gergo Bohner, Gaurav Venkataraman, Harrison Wilde, Bilal A. Mateen and Sebastian J. Vollmer. "Modelling COVID-19 exit strategies for policy makers in the United Kingdom." Independent (2020)Link opens in a new window.


Note that I was on temporary withdrawal whilst working at Twitter during part of Term 1 of the 2021 - 2022 academic year and thus did not teach on any modules.

  • 2021 - 2022
    • ST202: Stochastic Processes
  • 2020 - 2021
    • ST346: Generalised Linear Models for Regression and Classification
    • ST343: Topics in Data Science
    • ST104: Statistical Laboratory
    • CS118: Programming for Computer Scientists
  • 2019 - 2020
    • ST343: Topics in Data Science
    • CS910: Foundations of Data Analytics
    • CS118: Programming for Computer Scientists
    • IB9CS: Big Data Analytics