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.



Unwin H, Cori A, Imai N, et al., 2022, Using next generation matrices to estimate the proportion of infections that are not detected in an outbreak, Epidemics: the Journal of Infectious Disease Dynamics, Vol:41, ISSN:1755-4365

Bracher J, Wolffram D, Deuschel J, et al., 2022, National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021., Commun Med (lond), Vol:2

Imai N, Gaythorpe K, Bhatia S, et al., 2022, COVID-19 in Japan, January – March 2020: insights from the first three months of the epidemic, Bmc Infectious Diseases, Vol:22, ISSN:1471-2334

Wardle J, Bhatia S, Kraemer MUG, et al., 2022, Gaps in mobility data and implications for modelling epidemic spread: a scoping review and simulation study

More Publications