I’m a computational social scientist who is currently completing a PhD at the University of Pennsylvania. I am interested in both the causes and consequences of partisanship, with a specific focus on support for anti-democratic norms and political violence. For my research, I utilize data collected in a variety of ways (observational and trace data, surveys, and experiments) and use a wide range of both more classical statistical methods (regression, decision trees, PCA, bayes factors) as well as newer methods (ML, NLP, XGBoost, Neural Networks).


University of Pennsylvania
PhD | Sept 2021 - Present

The Wharton School at University of Pennsylvania
MA in Statistics and Data Science | 2023

University of Amsterdam
MSc in Political Communication | 2021

UC Santa Barbara
BA in Political Science and Psychology | 2014


The Wharton School | Statistics and Data Science Lecturer
July 2022 - Present

University of Pennsylvania | Computational Research Fellow
Sept 2021 - Present