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.



Cartwright L, Zammit-Mangion A, Bhatia S, et al., 2019, Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment, Atmospheric Measurement Techniques, Vol:12, ISSN:1867-1381, Pages:4659-4676

Desai AN, Kraemer MUG, Bhatia S, et al., 2019, Real-time Epidemic Forecasting: Challenges and Opportunities, Health Security, Vol:17, ISSN:2326-5094, Pages:268-275

Bhatia S, 2019, Algebraic models of large scale genome rearrangement events, Bulletin of the Australian Mathematical Society, Vol:99, ISSN:0004-9727, Pages:338-339


Bhatia S, Carrion M, Cohn E, et al., 2019, Big brother is watching - using digital disease surveillance tools for near real-time forecasting, ELSEVIER SCI LTD, Pages:27-27, ISSN:1201-9712


Jombart T, Kamvar ZN, Cai J, et al., 2019, reconhub/incidence: Incidence version 1.7.0, v.1.7.0

More Publications