Imperial College London


Faculty of MedicineSchool of Public Health

Research Associate



s.bhatia Website




G27Sir Alexander Fleming BuildingSouth Kensington Campus





I am a mathematician and a software engineer interested in probing biological systems using mathematical and computational tools. I’ve worked on a wide range of topics - from phylogenetics using algebraic methods to studying pain response using a convolution model.  I am working at Imperial on the problem of quantifying the risk of exportation of an outbreak from one country to another.

Another area in which I like to dabble is the use of the web to illuminate complex ideas. I am an amateur web developer and like to play around with D3, Leaflet and other javascript toys in my spare time.



Desai A, Nouvellet P, Bhatia S, et al., 2021, Data journalism and the COVID-19 pandemic: opportunities and challenges, The Lancet Digital Health, Vol:3, ISSN:2589-7500, Pages:e619-e621

Bhatia S, Imai N, Cuomo-Dannenburg G, et al., 2021, Estimating the number of undetected COVID-19 cases among travellers from mainland China, Wellcome Open Research, Vol:5, Pages:143-143

Bracher J, Wolffram D, Deuschel J, et al., 2021, A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave, Nature Communications, Vol:12

Knock ES, Whittles LK, Lees JA, et al., 2021, Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England, Science Translational Medicine, Vol:13, ISSN:1946-6234, Pages:1-12

Gaythorpe K, Bhatia S, Mangal T, et al., 2021, Children’s role in the COVID-19 pandemic: a systematic review of early surveillance data on susceptibility, severity, and transmissibility, Scientific Reports, Vol:11, ISSN:2045-2322, Pages:1-14

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