CV

Education

• Ph.D in Political Science, University of Illinois at Urbana-Champaign, 2020.09-2025.07 (expected)

  Major fields: comparative politics, American politics, and political methodology

• M.S. in Applied Statistics, University of Illinois at Urbana-Champaign, 2021.01-2023.05
• Empirical Implications of Theoretical Models Summer Institute, Emory University, 2024.06-2024.07

Publication

• Area under the ROC Curve has the most consistent evaluation for binary classification (PLOS ONE)

Working Papers

• Are we bootstrapping the right thing: a new approach to quantify uncertainty of ATT estimates (under review)
• A dynamic model of polarization under segregation (under review)
• A Lasso-augmented time series alternative to the synthetic control method: estimating the econmic impact of Hong Kong’s sovereignty return to China (under review)
• Meta analysis as a binary classification problem (ready for submission, manuscript available upon request)

Work experience

• June 2017- August 2020: Tech Risk Consultant
  • Bank of Montreal
  • Duties included: One of the primary developers for several major releases in IFRS9 (International Financial Risk Statements 9) and CECL (Current Expected Credit Risk) projects

Teaching Experience

• PS 532-Quant Pol Analysis III, Teaching Assistant, Department of Political Science, UIUC
• PS 305 US Supreme Court, Instructor, Department of Political Science, UIUC
• PS 343-Governance & Politics of China, Teaching Assistant, Department of Political Science, UIUC

Conferene Presentations

• Society for Political Methodology Annual Meeting: 2022, 2023, 2024, 2025
• American Political Science Association Annual Meeting: 2025
• Society for Causal Inference Annual Meeting: 2024
• Midwest Political Science Association Annual Meeting: 2023, 2024, 2025
• Southern Political Science Association Annual Meeting: 2024
• Washington University at St Louis: 2023

Service

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

Skills

• software proficiency: R, SAS, SQL, Python, Git, Linux Shell, Javascript, Html, QGIS, Spark and Hadoop, MATLAB