Development of mathematical and computer models of infectious disease

My first project was spent developing a stochastic SEIR model for measles epidemics with Thomas House and Matt Keeling in the Populations and Disease Research Interest Group. I constructed the model in MATLAB, and fitted it to available data on: vaccination coverage since a measles vaccine was introduce; population sizes of the U.K over the past century; birth and dates rates in the U.K. since 1838; and the latest data on contact rates between age groups (Mossong et al.). Once constructed and fitted accurately to data, the model was used to predict future measles epidemics in response to declining vaccination levels.