Rate My Professor Rohini Mathur

Professor Rohini Mathur serves as Professor and Chair of Health Data Science at the Wolfson Institute of Population Health, Queen Mary University of London. An epidemiologist, she specializes in applying precision medicine approaches to globally diverse electronic health datasets to address health inequalities, particularly in cardiometabolic diseases. Her research integrates causal inference methods, observational epidemiology, and pharmacoepidemiology using large-scale routine data to inform clinical practice, guidelines, and policy. Previously, she was Associate Professor at the London School of Hygiene and Tropical Medicine, where she undertook a Wellcome Trust-funded postdoctoral fellowship examining ethnic inequalities in type 2 diabetes care and outcomes, and participated in the OpenSAFELY collaborative on COVID-19 projects. Earlier roles include research positions at Queen Mary University of London from 2009 to 2014. Currently, she contributes to the Clinical Effectiveness Group through the Barts Charity-funded Precision Medicine Part 2 programme, leads a workstream on phenotype development in the Genes & Health Executive using linked electronic health records and cohort data, and collaborates across Wolfson Institute centres on health inequalities initiatives. Mathur chairs the Membership Committee of the International Society of Pharmacoepidemiology, sits on Diabetes UK Research Steering Groups, and is a member of the South Asian Health Foundation. She has delivered keynote addresses, such as at the ADR UK annual conference in 2023, and leads a £2.2 million NIHR-funded international trial on learning health systems for disease management in Thailand.

Her influential publications include 'Factors associated with COVID-19-related death using OpenSAFELY' (Nature, 2020; 7,893 citations), 'Data resource profile: Clinical Practice Research Datalink (CPRD)' (International Journal of Epidemiology, 2015; 3,227 citations), 'Risk models and scores for type 2 diabetes: systematic review' (BMJ, 2011; 703 citations), 'Completeness and usability of ethnicity data in UK-based primary care and hospital databases' (Journal of Public Health, 2014; 520 citations), and 'Ethnic differences in SARS-CoV-2 infection and COVID-19-related outcomes' (The Lancet, 2021; 510 citations). With over 22,700 citations on Google Scholar, her work on epidemiology, ethnicity, diabetes, and primary care has shaped the field. Mathur supervises doctoral students investigating ethnic variations in type 2 diabetes risk trajectories, artificial intelligence applications to multimorbidity inequalities, and physical-mental health multimorbidity in underrepresented populations. In 2025, she was selected for the Women in Data 'Top Twenty in Data and Tech' list.