Research Interests

Comparative Political Economy, Causal Inference, Quantitative Methodology

Education

PhD in Political Science (Comparative Politics, Political Methodology), University of Illinois at Urbana-Champaign, 2020.09-2025.12 (expected).

Master of Science in Applied Statistics, University of Illinois at Urbana-Champaign, May 2023.

Master of Arts in Political Economy, University of Waterloo, May 2015.

Courses Taught

PS 532-Quant Pol Analysis III, Department of Political Science (UIUC)  2023.09-2023.12  Teaching assistant

PS 531-Quant Pol Analysis II, Department of Political Science (UIUC)  2024.09-2025.05  Teaching assistant

PS 530-Quant Pol Analysis I, Department of Political Science (UIUC)  2023.09-2024.12  Teaching assistant

PS 241 Comparative Politics for the Global South, Department of Political Science (UIUC)  2023.09-2024.12  Discussion lead

PS 305 US Supreme Court, Department of Political Science (UIUC)  2023.09-2024.12  Instructor

Referee: American Political Science Review, Journal of Machine Learning Research, Chinese Political Science Review

Recent Publications

Nationalization of Political Communications and Mass Polarization, Fourteenth International Conference on Complex Networks and Their Applications (accepted, to be published in conference proceedings), 2025

Area under the ROC Curve has the most consistent evaluation for binary classification, PLOS ONE, https://doi.org/10.1371/journal.pone.0316019, 2024.

More precise causal effect estimates: a propensity score-augmented approach to quantify uncertainty of ATE estimates (under review), https://arxiv.org/abs/2310.11683, 2024.