Imperial College London


Faculty of MedicineSchool of Public Health

Visiting Researcher







Praed StreetSt Mary's Campus





I am a Schmidt Science Fellow at the London School of Hygiene and Tropical Medicine working with Prof Francesco Checchi on mortality estimation. I also am Visiting Researcher in the Department of Infectious Disease Epidemiology, working with Prof Azra Ghani and Dr Patrick Walker on modelling the transmission of COVID-19, and hold a position at Brown University in the Bailey Lab working on malaria population genetics.  


My undergraduate degree was in Natural Sciences at Pembroke College, Cambridge before completing a master's degree in Systems Biology, working on multi-omic computational methods for identifying new biochemical reactions indicative of disease.

For my PhD I worked on integrating genetic information into malaria transmission modelling with Prof Azra Ghani, Dr Lucy Okell and Dr Robert Verity. This work was focussed on extending malaria transmission models that have been used in creating global technical strategies for malaria control by including parasite genetic information to answer policy questions related to pfhrp2/3 deletions and antimalarial resistance. 



Watson OJ, Gao B, Nguyen TD, et al., 2022, Pre-existing partner-drug resistance to artemisinin combination therapies facilitates the emergence and spread of artemisinin resistance: a consensus modelling study., Lancet Microbe

Andagalu B, Watson OJ, Onyango I, et al., 2022, Malaria Transmission Dynamics in High Transmission Setting of Western Kenya and the Inadequate Treatment Response to Artemether-lumefantrine in an Asymptomatic Population., Clin Infect Dis

Watson O, Barnsley G, Toor J, et al., 2022, Global impact of the first year of COVID-19 vaccination: a mathematical modelling study, Lancet Infectious Diseases, ISSN:1473-3099

Ghafari M, Watson OJ, Karlinsky A, et al., 2022, A framework for reconstructing SARS-CoV-2 transmission dynamics using excess mortality data, Nature Communications, Vol:13

Okell L, Brazeau NF, Verity R, et al., 2022, Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling, Communications Medicine, Vol:2, ISSN:2730-664X, Pages:1-13

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