Imperial College London


Faculty of MedicineSchool of Public Health

Visiting Researcher



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.



Bhatia S, Imai N, Watson OJ, et al., 2023, Lessons from COVID-19 for re-scalable data collection, Lancet Infectious Diseases, Vol:23, ISSN:1473-3099, Pages:E383-E388

Bhatia S, Wardle J, Nash R, et al., 2023, Extending EpiEstim to estimate the transmission advantage of pathogen variants in real-time: SARS-CoV-2 as a case-study, Epidemics: the Journal of Infectious Disease Dynamics, Vol:44, ISSN:1755-4365, Pages:1-8

Micheroli R, Bhatia S, Vallejo-Yagüe E, et al., 2023, Obesity Represents a Persisting Health Issue in Axial Spondyloarthritis, Particularly Affecting Socially Disadvantaged Patients., J Rheumatol, ISSN:0315-162X

Herr D, Bhatia S, Breuer F, et al., 2023, Increasing emergency number utilisation is not driven by low-acuity calls: an observational study of 1.5 million emergency calls (2018 – 2021) from Berlin, Bmc Medicine, Vol:21, ISSN:1741-7015

Wardle J, Bhatia S, Kraemer MUG, et al., 2023, Gaps in mobility data and implications for modelling epidemic spread: a scoping review and simulation study, Epidemics: the Journal of Infectious Disease Dynamics, Vol:42, ISSN:1755-4365, Pages:1-11

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