Prof Rohini Mathur


Prof Rohini Mathur

Rohini has established an internationally recognized track record of conducting rigorous research to drive quality improvement and address health inequalities. In recognition of her expertise, she advised the UK Government as a member of the Scientific Advisory Group for Emergencies (SAGE) Ethnicity Subgroup where her research informed strategies to mitigate the COVID-19 pandemic. In addition to working collaboratively across the WIPH centres on a range of projects focussed on health inequalities, Rohini also leads a number of strategic initiatives related to health data science at the Wolfson Institute; she is co-director for the Wellcome Trust PhD Program in Health Data Science, co-lead of the Wolfson Institute Data Science Taskforce, and lead for the Data Science workstream for Genes & Health, a community based, long-term study of health and disease in British Bangladeshi and British Pakistani people. Rohini is a fellow of the Digital Environment Research Institute (DERI) and her research interests include the application of causal approaches, observational epidemiology, and pharmacoepidemiology using large-scale cohort, genetic, and electronic health data to inform best clinical practice, guidelines, and policy.

Follow Rohini on Twitter @ladyroho


Queen Mary University London, UK

Areas of Expertise

Professor & Chair of Health Data Science

  • Martin G, Mathur R, Naqvi H. How can we make better use of ethnicity data to improve healthcare services? BMJ. 2023 Mar 30;380:744. doi: 10.1136/bmj.p744. PMID: 36997191.
  • Chan J, Blane D, Choudhary P, Chowdhury TA, Goyal A, Hanif W, Jacca J, Mathur R, Misra S, Ocran N, Rutter MK, Studley R, Treweek S, Valabhji J, Khunti K. Addressing health inequalities in diabetes through research: Recommendations from Diabetes UK’s 2022 health inequalities in diabetes workshop. Diabet Med. 2023 Apr;40(4):e15024. doi: 10.1111/dme.15024. Epub 2022 Dec 19. PMID: 36508339.
  • Mathur R, Rentsch CT, Venkataraman K, Fatumo S, Jobe M, Angkurawaranon C, Ong SE, Wong AYS, Siddiqui MK. How do we collect good-quality data on race and ethnicity and address the trust gap? Lancet. 2022 Dec 10;400(10368):2028-2030. doi: 10.1016/S0140-6736(22)02490-4. PMID: 36502833.
  • Kuan V, Denaxas S, Patalay P, Nitsch D, Mathur R, Gonzalez-Izquierdo A, Sofat R, Partridge L, Roberts A, Wong ICK, Hingorani M, Chaturvedi N, Hemingway H, Hingorani AD; Multimorbidity Mechanism and Therapeutic Research Collaborative (MMTRC). Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study. Lancet Digit Health. 2023 Jan;5(1):e16-e27. doi: 10.1016/S2589-7500(22)00187-X. Epub 2022 Nov 29. PMID: 36460578.
  • Bidulka P, Mathur R, Lugo-Palacios DG, O’Neill S, Basu A, Silverwood RJ, Charlton P, Briggs A, Smeeth L, Adler AI, Douglas IJ, Khunti K, Grieve R. Ethnic and socioeconomic disparities in initiation of second-line antidiabetic treatment for people with type 2 diabetes in England: A cross-sectional study. Diabetes Obes Metab. 2023 Jan;25(1):282-292. doi: 10.1111/dom.14874. Epub 2022 Nov 2. PMID: 36134467; PMCID: PMC10092566.
  • Zhang CX, Boukari Y, Pathak N, Mathur R, Katikireddi SV, Patel P, Campos-Matos I, Lewer D, Nguyen V, Hugenholtz GCG, Burns R, Mulick A, Henderson A, Aldridge RW. Migrants’ primary care utilisation before and during the COVID-19 pandemic in England: An interrupted time series analysis. Lancet Reg Health Eur. 2022 Sep;20:100455. doi: 10.1016/j.lanepe.2022.100455. Epub 2022 Jun 30. PMID: 35789753; PMCID: PMC9243519.
  • Routen A, Akbari A, Banerjee A, Katikireddi SV, Mathur R, McKee M, Nafilyan V, Khunti K. Strategies to record and use ethnicity information in routine health data. Nat Med. 2022 Jul;28(7):1338-1342. doi: 10.1038/s41591-022-01842-y. PMID: 35641824.
  • Hodgson S, Huang QQ, Sallah N; Genes & Health Research Team; Griffiths CJ, Newman WG, Trembath RC, Wright J, Lumbers RT, Kuchenbaecker K, van Heel DA, Mathur R, Martin HC, Finer S. Integrating polygenic risk scores in the prediction of type 2 diabetes risk and subtypes in British Pakistanis and Bangladeshis: A population-based cohort study. PLoS Med. 2022 May 19;19(5):e1003981. doi: 10.1371/journal.pmed.1003981. PMID: 35587468; PMCID: PMC9119501.
  • Mathur R, Rentsch CT, Morton CE, Hulme WJ, Schultze A, MacKenna B, Eggo RM, Bhaskaran K, Wong AYS, Williamson EJ, Forbes H, Wing K, McDonald HI, Bates C, Bacon S, Walker AJ, Evans D, Inglesby P, Mehrkar A, Curtis HJ, DeVito NJ, Croker R, Drysdale H, Cockburn J, Parry J, Hester F, Harper S, Douglas IJ, Tomlinson L, Evans SJW, Grieve R, Harrison D, Rowan K, Khunti K, Chaturvedi N, Smeeth L, Goldacre B; OpenSAFELY Collaborative. Ethnic differences in SARS-CoV-2 infection and COVID-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England: an observational cohort study using the OpenSAFELY platform. Lancet. 2021 May 8;397(10286):1711-1724. doi: 10.1016/S0140-

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