Applied data science

The applied data science team uses data to uncover the patterns, causes, and effects of health and disease conditions, and how these link to health services, using the best techniques to increase the reliability of their findings.

Theme lead: Professor Yoav Ben-Shlomo

Team members

Dr Emily Eyles

Research Associate, Quantitative Research

Dr Jessica Watson

GP and Doctoral Research Fellow

Dr Loubaba Mamluk

Senior Research Associate, Quantitative Research

Dr Martha Elwenspoek

Research Fellow in Test Evaluation

Dr Scott Walter

Senior Research Associate

Dr Theresa Redaniel

Team Lead and Senior Lecturer in Health Services Research and Epidemiology
  • Team Lead

Dr Tim Jones

Senior Research Associate, Quantitative Research/Health Economics

Hannah Edwards

Senior Research Associate, Quantitative Research

James McKernon

Clinical Practice Research Datalink (CPRD) database manager

Joni Jackson

Research Associate, Quantitative Research

Lauren Scott

Senior Research Associate, Quantitative Research/Evidence Synthesis

Professor Frank de Vocht

Applied Data Sciences Team Co-lead

Professor Kate Tilling

Applied data science workstream lead

Professor Tim Peters

Applied data science workstream lead

Professor Yoav Ben-Shlomo

Cross-cutting Methodological Theme Lead

Rebecca Wilson

Senior Research Associate in Quantitative Research and Evidence Synthesis

Ruta Margelyte

Research Associate, Quantitative Research

Projects

Reducing abusive head injuries in babies: Evaluating the ICON programme

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Better Care: Improving efficiency in hospitals by predicting demand

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Clearways: Helping councils make decisions on air quality and transport

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Common Ambition Bristol: Addressing HIV stigma and testing in partnership with African/Caribbean communities

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