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. 



Kirby R, Giesbrecht D, Karema C, et al., 2022, Examining the early distribution of the artemisinin-resistant<i>Plasmodium falciparum</i>kelch13 R561H mutation in Rwanda

Andagalu B, Watson OJ, Onyango I, et al., 2022, Reply to Blanken et al, Clinical Infectious Diseases, ISSN:1058-4838

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, The Lancet Microbe, Vol:3, ISSN:2666-5247, Pages:e701-e710

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, Vol:22, ISSN:1473-3099, Pages:1293-1302

Whittaker C, Watson O, Alvarez-Moreno C, et al., 2022, Understanding the Potential Impact of Different Drug Properties On SARS-CoV-2 Transmission and Disease Burden: A Modelling Analysis, Clinical Infectious Diseases, Vol:75, ISSN:1058-4838, Pages:e224-e233

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