I am a graduate student at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. I study machine learning, and applications of machine learning in human health. My recent work focuses on the development of probabilistic models and inference tools to understand the spread of contagions among networks of individuals and untangle causal mechanisms that govern the diffusion dynamics. Part of my work is generously funded by the Mustard Seed Foundation through the Harvey fellowship. Please note that this website is still under construction, but an updated CV is available here.

Publications Teaching


* denotes joint first authorship




  • Emily Mu, 2018-2019
  • Advaith Anand, 2018-2019