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 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 monitor the effectiveness of interventions at city-level.
I primarily work at intersection of public health, machine learning and Bayeasian modelling.
I focus on mathematical, statistical and computer science tools to answer questions about human health.