My research is on scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science.
My work involves modelling infectious disease transmission dynamics.
I work at the intersection of Bayesian inference, spatial statistics and epidemiology.
My research involves using viral sequence data and patient data to characterise HIV transmission and guide public health interventions.
I primarily work at intersection of public health, machine learning and Bayesian modelling.
I focus on mathematical, statistical and computer science tools to answer questions in human health and biology.