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., Measuring social, environmental and health inequalities using deep learning and street imagery, Scientific Reports, ISSN:2045-2322
et al., 2018, Contributions of diseases and injuries to widening life expectancy inequalities in England from 2001 to 2016: a population-based analysis of vital registration data, Lancet Public Health, Vol:3, ISSN:2468-2667, Pages:E586-E597
et al., 2018, National and regional seasonal dynamics of all-cause and cause-specific mortality in the USA from 1980 to 2016, Elife, Vol:7, ISSN:2050-084X
Boulieri A, Bennett JE, Blangiardo M, 2018, A Bayesian mixture modeling approach for public health surveillance., Biostatistics
et al., 2018, NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4, Lancet, Vol:392, ISSN:0140-6736, Pages:1072-1088