Imperial College London


Faculty of MedicineSchool of Public Health

Professor of Statistics and Public Health



+44 (0)20 7594 5029s.bhatt




G32ASt Mary's Research BuildingSt Mary's Campus





I am a Professor of Statistics and Public Health at Imperial College London and a Professor of Machine Learning and Public Health at the University of Copenhagen. My group focuses on mathematical, statistical and computer science tools to answer questions about human health.



Penn MJ, Laydon DJ, Penn J, et al., 2023, Intrinsic randomness in epidemic modelling beyond statistical uncertainty, Communications Physics, Vol:6

Murphy C, Lim WW, Mills C, et al., 2023, Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings., Philos Trans a Math Phys Eng Sci, Vol:381

Monod M, Blenkinsop A, Brizzi A, et al., 2023, Regularised B-splines projected Gaussian Process priors to estimate time-trends in age-specific COVID-19 deaths, Bayesian Analysis, Vol:18, ISSN:1931-6690, Pages:957-987

Hawryluk I, Mishra S, Flaxman S, et al., 2023, Application of referenced thermodynamic integration to Bayesian model selection, Plos One, Vol:18, ISSN:1932-6203, Pages:1-16

Katsiferis A, Mortensen LH, Khurana MP, et al., 2023, Predicting mortality risk after a fall in older adults using health care spending patterns: a population-based cohort study., Age Ageing, Vol:52

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