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.
et al., 2020, Long-term exposure to air-pollution and COVID-19 mortality in England: a hierarchical spatial analysis., Medrxiv
Boulieri A, Bennett JE, Blangiardo M, 2020, A Bayesian mixture modelling approach for public health surveillance, Biostatistics, Vol:21, ISSN:1465-4644, Pages:369-383
NCD Risk Factor Collaboration (NCD-RisC), 2020, Repositioning of the global epicentre of non-optimal cholesterol, Nature, Vol:582, ISSN:0028-0836, Pages:73-77
et al., 2020, National trends in total cholesterol obscure heterogeneous changes in HDL and non-HDL cholesterol and total-to-HDL cholesterol ratio: an analysis of trends in Asian and Western countries, International Journal of Epidemiology, Vol:49, ISSN:1464-3685, Pages:173-192
et al., 2020, Multidimensional characterization of global food supply from 1961 to 2013, Nature Food, Vol:1, ISSN:2662-1355, Pages:70-75