I primarily work at intersection of public health, machine learning and Bayeasian modelling.
I develop statistical machine learning methods to solve scientific questions with impact in real life.
My work involves modelling infectious disease transmission dynamics.
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 about human health.