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.
I focus on mathematical, statistical and computer science tools to answer questions in human health and biology.