Imperial College London

Matthew L. Thomas

Faculty of MedicineSchool of Public Health

Visiting Researcher



matthew.thomas CV




Norfolk PlaceSt Mary's Campus





I am currently a Research Assistant working in the Department of Infectious Disease Epidemiology. My research interests lie in spatial and spatio–temporal statistics and the implementation of Bayesian hierarchical models with applications in the environment and public health.

Prior to joining Imperial, I was a PhD student at the University of Bath. My PhD research involved developing Bayesian hierarchical models to integrate data from multiple (and often disparate) sources to estimate global air quality and the associated burden of disease. Alongside my PhD, I was involved in a number of other short term projects centred in environment and health with collaborators such as the World Health Organization and the Department of Pharmacy & Pharmacology at the University of Bath. 



Thomas ML, Shaddick G, Charlton R, et al., 2021, Tumor Necrosis Factor Inhibitor Monotherapy Versus Combination Therapy for the Treatment of Psoriatic Arthritis: Combined Analysis of European Biologics Databases., J Rheumatol, Vol:48, ISSN:0315-162X, Pages:48-57

Shaddick G, Thomas ML, Mudu P, et al., 2020, Half the world’s population are exposed to increasing air pollution, Npj Climate and Atmospheric Science, Vol:3, ISSN:2397-3722, Pages:1-5

Stanaway JD, Afshin A, Gakidou E, et al., 2018, Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017, Lancet, Vol:392, ISSN:0140-6736, Pages:1923-1994

Shaddick G, Ranzi A, Thomas ML, et al., 2018, Towards an assessment of the health impact of industrially contaminated sites: waste landfills in Europe, Epidemiologia & Prevenzione, Vol:42, ISSN:1120-9763, Pages:69-75

Shaddick G, Thomas ML, Amini H, et al., 2018, Data Integration for the Assessment of Population Exposure to Ambient Air Pollution for Global Burden of Disease Assessment, Environmental Science & Technology, Vol:52, ISSN:0013-936X, Pages:9069-9078

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