Summary
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.
Publications
Journals
Nathvani R, Vishwanath D, Clark SN, et al., 2023, Beyond here and now: evaluating pollution estimation across space and time from street view images with deep learning, Science of the Total Environment, Vol:903, ISSN:0048-9697
Cavanaugh A, Baumgartner J, Bixby H, et al., 2023, Strangers in a strange land: mapping household and neighbourhood associations with wellbeing outcomes in Accra, Ghana, Cities, Vol:143, ISSN:0264-2751
Zhou B, Sheffer K, Bennett J, et al., 2023, Global variation in diabetes diagnosis and prevalence based on fasting glucose and haemoglobin A1c, Nature Medicine, ISSN:1078-8956
Rashid T, Bennett JE, Muller D, et al., 2023, Inequalities in mortality from leading cancers in districts of England from 2002 to 2019: population-based high-resolution spatiotemporal analysis of vital registration data, The Lancet Oncology, ISSN:1213-9432
Suel E, Muller E, Bennett J, et al., 2023, Do poverty and wealth look the same the world over? A comparative study of 12 cities from five high-income countries using street images, Epj Data Science, Vol:12, ISSN:2193-1127, Pages:1-14