Ben Lambert
Associate Professor of Statistics and AI in Science
I am a mathematician and a statistician with a strong interest in biological systems, and I develop computational methods that help to uncover biological and epidemiological knowledge. Most of my work tends to be in vector-borne systems, such as those for mosquito-borne diseases.
I direct Oxford's Schmidt AI in Science programmes: our Postdoctoral Fellowship programme, and our Visiting Faculty programme for Fellows from India and Africa. Both of these schemes provide funding for Fellows who apply methods from AI to advance scientific knowledge, and these schemes will collectively fund 164 Fellow-years of research by 2030.
Recent publications
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Modelling the effects of adult emergence on the surveillance and age distribution of medically important mosquitoes.
Journal article
Stopard IJ. et al, (2025), PLoS computational biology, 21
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EpiGeoPop: a tool for developing spatially accurate country-level epidemiological models.
Journal article
Herriott L. et al, (2025), Scientific reports, 15
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Heterogeneous impacts for malaria control from larviciding across villages and considerations for monitoring and evaluation.
Journal article
Sherrard-Smith E. et al, (2025), PLoS pathogens, 21