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.



Nielsen PY, Jensen MK, Mitarai N, et al., 2024, The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms., Sci Rep, Vol:14

Khurana MP, Scheidwasser-Clow N, Penn MJ, et al., 2023, The limits of the constant-rate birth-death prior for phylogenetic tree topology inference., Syst Biol

Penn MJ, Scheidwasser N, Penn J, et al., 2023, Leaping through Tree Space: Continuous Phylogenetic Inference for Rooted and Unrooted Trees., Genome Biol Evol, Vol:15

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, Philosophical Transactions of the Royal Society A-mathematical Physical and Engineering Sciences, Vol:381, ISSN:1364-503X

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

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