I am a Ph.D. student in the Department of Government and
an affiliate of the Institute for Quantitative Social Science (IQSS) at
I study American political behavior and quantitative methodology. My research uses big data and computational methods to understand how changing social and information environments influence political behavior in the United States. Methodologically, I focus on developing causal inference, ideal point estimation and dimensionality reduction tools for high-dimensional datasets.
Prior to Harvard, I worked as a staff data scientist at the MIT Political
Methodology Lab. I graduated from Tufts University in 2016
with a B.S. in Computer Science and Mathematics.