My research tackles pressing questions that shape urban life and policymaking in small-scale multi-racial democracies: Can local governments effectively translate public opinion into public policy amidst overlapping governing institutions? How can individuals enhance responsiveness and transparency among local elites? And why do discriminatory institutions emerge and persist at the local level? Alongside these substantive interests, I have methodological interests in using computational models for social science inquiry, whether descriptive or causal.

My work has been featured in outlets such as the Proceedings of the National Academy of Sciences - Nexus, Political Behavior, the Journal of Experimental Political Science, and the Oxford Bibliographies in Political Science. I’ve been fortunate to receive several awards, including the Best Graduate Student Poster Award from the Society for Political Methodology in 2021 for my research on overlapping governing institutions and a poster award from MENA and Asian Polmeth in 2024 for my work on Bayesian changepoint analysis and regression discontinuity. Additionally, I was honored with the Susan Clarke Young Scholars Award from the Urban and Local Politics Section of the American Political Science Association in 2022.

Outside academia, I apply my methodological training and political science expertise to political campaigns. I currently serve as Data and Analytics Director for Jon Ossoff’s U.S. Senate re-election campaign, where I lead the analytics team and the analysis behind campaign strategy. I help write internal polls, run focus groups, and advise on the targeting decisions behind media buys and the relational mobilization program. I am also the founder of Credible Interval Research & Analytics, a polling and analytics firm.

I hold a Ph.D. in Political Science from Washington University in St. Louis and completed my bachelor's and master's degrees in Political Science at Arkansas State University.