Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Research Associate







6M37Huxley BuildingSouth Kensington Campus





I am a Research Associate in the Statistics section. My research involves using viral sequence data and patient data to characterise HIV transmission at population-level, which can be used to monitor the effectiveness of interventions. I am interested in Bayesian methods for modelling phylogenetic and epidemiological data.

I have also been involved in research relating to COVID-19 with a focus on children losing parents and caregivers, characterising spatial and demographic disparities across the United States.

I have collaborated with numerous partners including the HIV Transmission Elimination Team (H-TEAM) at the Amsterdam Institute of Global Health and Development, the Phylogenetics And Networks for Generalised Epidemics in Africa (PANGEA) HIV consortium, the Botswana-Havard AIDS Institute Partnership and the United States Centers for Disease Control and Prevention (CDC).



Monod M, Blenkinsop A, Brizzi A, et al., 2023, Regularised B-splines projected Gaussian Process priors to estimate time-trends in age-specific COVID-19 deaths, Bayesian Analysis, Vol:18, ISSN:1931-6690, Pages:957-987

Flaxman S, Kasonka L, Cluver L, et al., 2023, List child dependents on death certificates, Science, Vol:380, ISSN:0036-8075

Choodari-Oskooei B, Thwin SS, Blenkinsop A, et al., 2023, Treatment selection in multi-arm multi-stage designs: With application to a postpartum haemorrhage trial, Clinical Trials, Vol:20, ISSN:1740-7745, Pages:71-80

Flaxman S, Whittaker C, Semenova E, et al., 2023, Assessment of COVID-19 as the underlying cause of death among children and young people aged 0 to 19 years in the US., Jama Network Open, Vol:6, ISSN:2574-3805, Pages:1-9

Blenkinsop A, Monod M, van Sighem A, et al., 2022, Estimating the potential to prevent locally acquired HIV infections in a UNAIDS Fast-Track City, Amsterdam, Elife, Vol:11, ISSN:2050-084X

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