I am an Assistant Professor in the Department of Statistics and the Data Science Institute at the University of Chicago. My research develops statistical models and computational methods to analyze modern large-scale data in the social and biomedical sciences.

I recently moved from Columbia where I was a postdoctoral fellow in their Data Science Institute, working with David Blei and Donald Green on large-scale digital field experiments to assess the causal effects of friend-to-friend organizing on voter turnout in US elections.

I received my PhD in Computer Science from UMass Amherst in 2019 under the guidance of Hanna Wallach in the Machine Learning for Data Science lab. My dissertation developed a family of Bayesian tensor decomposition models for high-dimensional discrete data of networks and time-series in international relations.

Prior to that, I received an MA in Linguistics and BA in Political Science also from UMass. I also interned in industry at MITRE, Google, and Microsoft.