William Hulme
Statistical Epidemiologist · Oxford Missing Departments (2026-08-14) · University of Oxford
Quick answer: William Hulme is Statistical Epidemiologist at University of Oxford. William Hulme shows an active PhD hiring signal as of 2026-09-11.
⭐ I am open to discussing proposals for doctoral projects relating to the application of the target trial emulation framework in EHR data, reusuable research pipelines in EHR data, and related topics.
Research interests
Improving how routinely-collected health data can be used for prediction and inference, and improving research transparency and reusability in sensitive data settings. Recent work focused on target trial emulation, particularly its application to evaluating vaccine safety and effectiveness.
Selected publications (since 2023)
Prestige E. et al, (2026) Classifying and Differentiating Individuals with Respiratory Syncytial Virus, Influenza, and COVID-19 Cases in OpenSAFELY Between 2016 and 2024 (Preprint)
Cowling T. et al, (2026) Association between living with children, vaccination, and outcomes from COVID-19: an OpenSAFELY cohort study of 12 million adults in England during 2021–22 (Journal article)
Cunningham C. et al, (2025) Impact of the COVID-19 pandemic on antidepressant prescribing with a focus on people with learning disability and autism: an interrupted time series analysis in England using OpenSAFELY-TPP (Journal article), BMJ mental health, 28
Andrews CD. et al, (2025) Uptake of service specific codes for the COVID oximetry @Home Pulse Oximetry service: an analysis of 57 million patients' primary care
Frequently asked questions
Is William Hulme hiring PhD students at University of Oxford?
Yes. As of 2026-09-11, William Hulme's faculty page shows a PhD hiring signal: I am open to discussing proposals for doctoral projects relating to the application of the target trial emulation framework in EHR data, reusuable research pipelines in EHR data, and related topics..
What does William Hulme research?
Improving how routinely-collected health data can be used for prediction and inference, and improving research transparency and reusability in sensitive data settings. Recent work focused on target trial emulation, particularly its application to evaluating vaccine safety and effectiveness.
Data last updated: 2026-09-11 · Source: phd-match.com faculty database.
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