Charlie Harper
BSc, MSc, DPhil
Trial Data Scientist
Charlie is a data scientist working in the Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU) at Oxford Population Health.
His work aims to develop new trial methods to streamline large-scale randomised trials that produce reliable answers, including the use of healthcare systems data to recruit and follow-up participants. He lectures on the University of Oxford's MSc in Clinical Trials and MSc in Global Health Science and Epidemiology.
Charlie completed his undergraduate degree in Economics at the University of East Anglia and MSc in Economics at Bristol University. He obtained his DPhil in Population Health from Oxford Population Health, where he showed that UK healthcare systems data can be used to reliably follow-up participants in large cardiovascular trials.
Recent publications
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Association of Daily Steps with Incident Non-Alcoholic Fatty Liver Disease: Evidence from the UK Biobank Cohort.
Journal article
Fulda ES. et al, (2025), Med Sci Sports Exerc
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Predictive performance of wearable sensors for mortality risk in older adults: a model development and validation study
Preprint
Harper C. et al, (2025)
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Higher dose corticosteroids in hospitalised COVID-19 patients requiring ventilatory support (RECOVERY): a randomised, controlled, open-label, platform trial.
Journal article
RECOVERY Collaborative Group None., (2025), EClinicalMedicine, 81
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Clinical trial results in context: comparison of baseline characteristics and outcomes of 38,510 RECOVERY trial participants versus a reference population of 346,271 people hospitalised with COVID-19 in England.
Journal article
Pessoa-Amorim G. et al, (2024), Trials, 25
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Association of daily steps with incident non-alcoholic fatty liver disease: Evidence from the UK Biobank cohort
Preprint
Fulda ES. et al, (2024)