πVAE: a stochastic process prior for Bayesian deep learning with MCMC

Swapnil Mishra

Assistant Professor of Machine Learning and Public Health

I primarily work at intersection of public health, machine learning and Bayesian modelling.

Seth Flaxman

Associate Professor

My research is on scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science.

Harrison Zhu

Assistant Professor, Health Data Science and AI Section, Department of Public Health

I work on epidemiology with modern machine learning methods, including phylogenetics, Gaussian processes, and deep learning.

Samir Bhatt

Professor of Machine Learning, Statistics and Public Health

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