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.