I work at the intersection of Bayesian inference, spatial statistics and epidemiology.
I am interested in Bayesian statistics, with applications in global health and biosecurity.
I focus on mathematical, statistical and computer science tools to answer questions in human health and biology.
I primarily work at intersection of public health, machine learning and Bayesian modelling.
My research is on scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science.