Imperial College London


Faculty of MedicineSchool of Public Health

Lecturer in Geostatistics







G24St Mary's Research BuildingSt Mary's Campus





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.



Hancock PA, Wiebe A, Gleave KA, et al., 2018, Associated patterns of insecticide resistance in field populations of malaria vectors across Africa, Proceedings of the National Academy of Sciences of the United States of America, Vol:115, ISSN:0027-8424, Pages:5938-5943

Routledge I, Cheyez JER, Cucunuba ZM, et al., 2018, Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting, Nature Communications, Vol:9, ISSN:2041-1723

Routledge I, Walker M, Cheke RA, 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, Parasites & Vectors, Vol:11, ISSN:1756-3305

Meyer-Rath G, McGillen JB, Cuadros DF, 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

Graetz N, Friedman J, Osgood-Zimmerman A, et al., 2018, Mapping local variation in educational attainment across Africa, Nature, Vol:555, ISSN:0028-0836, Pages:48-+

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