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., 2021, Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis., Lancet Infect Dis, Vol:21, Pages:59-69
et al., 2020, A unified machine learning approach to time series forecasting applied to demand at emergency departments, Bmc Emergency Medicine, ISSN:1471-227X
et al., 2020, The effect of interventions on COVID-19, Nature, Vol:588, ISSN:0028-0836
et al., 2020, State-level tracking of COVID-19 in the United States, Nature Communications, ISSN:2041-1723