Imperial College London

Isaac Stopard

Faculty of MedicineSchool of Public Health

Research Postgraduate







Praed StreetSt Mary's Campus





I am broadly interested in epidemiology, ecology and health economics. My research investigates the importance of different drivers (social and ecological) and intervention strategies on infectious disease transmission.

I gained First class honours in Biology BSc from Imperial College London, before working as a Fisheries Scientist at a specialist consultancy for a number of years.


I am currently a PhD student in the Quantitative Methods in Ecology and Evolution Centre for Doctoral Training. Under the supervision of Dr Ben Lambert and Prof Thomas Churcher, my work involves modelling entomological measures of malaria risk given a changing planet (i.e. temperature). Recent work has focused on developing a novel mathematical model to estimate the extrinsic incubation period.


Under the supervision of Prof Timothy Hallett and Dr Jessica McGillen, at the HIV Modelling Consortium, we investigated the impact of failing to consider constraints to allocative and technical efficiency (in our case hypothetical) on the advice given by modellers. More recently, I have been investigating how best to incorporate equity considerations into transmission modelling studies, and maintain an honorary position in this group, with a specific focus on health inequality.




Polonsky JA, Bhatia S, Fraser K, et al., 2022, Feasibility, acceptability, and effectiveness of non-pharmaceutical interventions against infectious diseases among crisis-affected populations: a scoping review, Infectious Diseases of Poverty, Vol:11, ISSN:2049-9957, Pages:1-19

Momeni-Boroujeni A, Mendoza R, Stopard IJ, et al., 2021, A Dynamic Bayesian Model for Identifying High-Mortality Risk in Hospitalized COVID-19 Patients, Infectious Disease Reports, Vol:13, Pages:239-250

Stopard IJ, Churcher TS, Lambert B, 2021, Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony, Plos Computational Biology, Vol:17, ISSN:1553-734X

Stopard I, McGillen J, Hauck K, et al., 2019, The influence of constraints on the efficient allocation of resources for HIV prevention: a modelling study, Aids, Vol:33, ISSN:0269-9370, Pages:1241-1246

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