Imperial College London


Faculty of MedicineSchool of Public Health

Statistical Manager







1120Building E - Sir Michael UrenWhite City Campus





Dr James Bennett gained a Bsc in Applied Mathematics at Warwick University before moving to Imperial College statistics department to study for his PhD under Professor Jon Wakefield. The PhD was sponsored by Glaxo Plc and was entitled "Bayesian Analysis of Population Pharmacokinetic Models".

Following the completion of his PhD he has held a wide variety of post-doctoral research contracts predominantly in the Department of Epidemiology and Biostatistics at St Mary's Medical School, Imperial College.

Research Interests: environmental epidemiology; small area health statistics; bayesian hierarchical models; exposure modelling.




Nathvani R, Clark S, Muller E, et al., 2022, Characterisation of urban environment and activity across space and time using street images and deep learning in Accra, Scientific Reports, ISSN:2045-2322

Clark S, Alli AS, Ezzati M, et al., 2022, Spatial modelling and inequalities of environmental noise in Accra, Ghana, Environmental Research, Vol:214, ISSN:0013-9351

Asaria P, Bennett J, Elliott P, et al., 2022, Contributions of event rates, pre-hospital deaths and hospital case fatality to variations in myocardial infarction mortality in 326 districts in England: spatial analysis of linked hospitalisation and mortality data, The Lancet Public Health, Vol:7, ISSN:2468-2667, Pages:e813-e824

Ikeda N, Nakaya T, Bennett J, et al., 2022, Trends and disparities in adult body mass index across the 47 prefectures of Japan, 1975-2018: a bayesian spatiotemporal analysis of national household surveys, Frontiers in Public Health, Vol:10, ISSN:2296-2565, Pages:1-9

Kontis V, Bennett JE, Parks RM, et al., 2022, Lessons learned and lessons missed: impact of the coronavirus disease 2019 (COVID-19) pandemic on all-cause mortality in 40 industrialised countries and US states prior to mass vaccination [version 2; peer review: 2 approved], Wellcome Open Research, Vol:6, ISSN:2398-502X

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