Her research mostly involves aspects of stochastic epidemic models, and applying and developing statistical methodology for the study of infectious diseases
Her PhD thesis explored Bayesian techniques for parameter estimation and model comparison in the context of partially observed epidemic data. More specifically, in her PhD she developed new inference methods to learn the epidemiology of Escherichia coli O157 in cattle. Her most recent work on the project 'Projections on eliminating neglected tropical diseases' has involved developing new methods of linking geospatial models of disease prevalence with transmission models of epidemic dynamics in order to make maps of future projections of disease. These predictions can be used to inform policy makers where elimination efforts should be focused and how long it will take until elimination is achieved.