My interests lie in the development and application of inferential mathematical models to address policy-relevant questions about infectious diseases. My main areas of research concern Malaria and HIV. Methodologically, I am interested in spatial statistics, Gaussian processes, kernel machines and machine learning.
et al., Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting, Nature Communications, ISSN:2041-1723
et al., 2016, Updates to the zoonotic niche map of Ebola virus disease in Africa., Elife, Vol:5
et al., 2018, Associated patterns of insecticide resistance in field populations of malaria vectors across Africa., Proc Natl Acad Sci U S A, Vol:115, Pages:5938-5943
et al., 2018, Modelling the impact of larviciding on the population dynamics and biting rates of Simulium damnosum (s.l.): implications for vector control as a complementary strategy for onchocerciasis elimination in Africa., Parasit Vectors, Vol:11
et al., 2018, Targeting the right interventions to the right people and places: the role of geospatial analysis in HIV program planning, Aids, Vol:32, ISSN:0269-9370, Pages:957-963