I am a Postdoc Fellow at the Massive Data Institute (MDI) of Georgetown University. I received my Ph.D. from the Department of Government at American University in 2022. I was also previously a Visiting Graduate Fellow at the Institute for Quantitative Social Science, Harvard University.
I study political methodology and political behavior. I use statistical and computational methods to study political polarization and environmental politics.
Methodologically, I’m interested in spatial methods, Bayesian and nonparametric statistics, and survey methodology and measurement. I’m also interested in integrating the aforementioned methods with other causal inference and computational techniques. Additionally, as a data scientist, I am interested in statistical simulations, container computing, and reproducible research. My substantive interests include how contextual, structural factors impact political behavior and environmental outcomes.
At MDI, I am currently working with the Environmental Impact Data Collaborative (EIDC) team and using cutting-edge methods to investigate the unevenly distributed environmental impacts on local communities in the U.S.
|Oct 19, 2022||MDI Data Workshop|
|Aug 17, 2022||Latest CV|
|Aug 29, 2021||Introduction to Political Research course at American University|
|Aug 24, 2020||Bayesian statistics course at American University|