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Harrison Wilde

I am a third year PhD student in Statistics supervised primarily by Sebastian Vollmer at the DFKI (German Research Center for Artificial Intelligence). I am also the 2019 recipient of the Feuer International Scholarship in Artificial Intelligence as well 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 programme.

My research interests include Bayesian 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, as a visiting member of Chris Holmes' lab at Oxford, an honorary researcher at UCL Institute of Health Informatics, a visiting researcher and data scientist at the British Heart Foundation's Data Science Centre via HDR UK, a member of the CVD-COVID-UK Consortium, a researcher at COEXI(S)T, 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 at Pumas AI, a visiting researcher at Homeless Link, and sat on the committee of the Royal Statistical Society's West Midlands Local Group in 2021.

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

Selected Publications

  • Sahra Ghalebikesabi, Harrison Wilde, Jack Jewson, Arnaud Doucet, Sebastian J. Vollmer, Chris Holmes. "Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale" arXiv (2021).
  • Harrison Wilde, John M. Dennis, Sebastian J. Vollmer, Bilal A. Mateen. "A national retrospective study of the association between serious operational problems and COVID-19 specific intensive care mortality risk" PloS; medRxiv (2021).
  • 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.
  • Harrison Wilde, Thomas Mellan, Iwona Hawryluk, John M. Dennis, Spiros Denaxas, Christina Pagel, Andrew Duncan, Samir Bhatt, Seth Flaxman, Bilal A. Mateen, Sebastian J. Vollmer. “The association between mechanical ventilator compatible bed occupancy and mortality risk in intensive care patients with COVID-19: A national retrospective cohort study” BMC Medicine; medRxiv (2020).
    • Was interviewed on BBC Evening News and featured in a lot of international media coverage, see Altmetric.
  • 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).
  • Harrison Wilde, Jack Jewson, Sebastian Vollmer, Chris Holmes. "Foundations of Bayesian Learning from Synthetic Data". AISTATS 2021; arXiv (2020).
  • Bilal A. Mateen, Harrison Wilde, John M. Dennis, Andrew Duncan, Nicholas John Meyrick Thomas, Andrew P. McGovern, Spiros Denaxas, Matt J. Keeling, and Sebastian J. Vollmer. "A geotemporal survey of hospital bed saturation across England during the first wave of the COVID-19 Pandemic." BMJ Open; medRxiv (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).

  • Harrison Wilde, Lucia Lushi Chen, Austin Nguyen, Zoe Kimpel, Joshua Sidgwick, Adolfo De Unanue, Davide Veronese, Bilal A. Mateen, Rayid Ghani, and Sebastian J. Vollmer. "A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services." Cambridge Data & Policy, Vol. 3; arXiv (2020).


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