Imperial College London


Faculty of MedicineSchool of Public Health

Statistical Manager



+44 (0)20 7594 3371umahx99




524Norfolk PlaceSt Mary's 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.




Boulieri A, Bennett JE, Blangiardo M, A Bayesian mixture modelling approach for public health surveillance, Biostatistics, ISSN:1465-4644

Ezzati M, Pearson-Stuttard J, Bennett JE, et al., 2018, Acting on non-communicable diseases in low- and middle-income tropical countries, Nature, Vol:559, ISSN:0028-0836, Pages:507-516

Kontis V, Bennett JE, Mathers CD, et al., 2017, Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble, Lancet, Vol:389, ISSN:0140-6736, Pages:1323-1335

Bentham J, Di Cesare M, Stevens GA, et al., 2016, A century of trends in adult human height, Elife, Vol:5, ISSN:2050-084X

Arku RE, Bennett JE, Castro MC, et al., 2016, Geographical Inequalities and Social and Environmental Risk Factors for Under-Five Mortality in Ghana in 2000 and 2010: Bayesian Spatial Analysis of Census Data, Plos Medicine, Vol:13, ISSN:1549-1676

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