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A headshot of Kyle Chan.

Kyle Chan

Stats Desk Consultant

PhD, Political Science

Stats Help Desk, Davis Library Research Hub

Kyle Chan is a second year PhD student in Political Science specializing in Comparative Politics. He received his B.A. from the Hong Kong Baptist University and his M.S. from Leiden University (the Netherlands). Kyle joined Odum in Spring 2020 as a Stats help desk consultant. He helps students with questions relating to data manipulation, multiple regression, causal inference, social networks analysis in R and Python.

Kyle’s research focuses on multi-level governance and the consequences of party competition, with a particular regional focus on Western European and East Asian party systems. He is currently working on a project on blame and responsibility attribution by regional politicians on immigration issues in Western Europe. In this project he is using text analysis and supervised learning techniques to process legislative proceedings in regional parliaments. His prior research has been published in Regional & Federal Studies.


  • Multiple Regression (OLS, GLM, Multi-level Modeling)
  • Time Series Analysis (ARIMA, VAR, ADL, ECM)
  • Causal Inference
  • Panel Data
  • Web-scraping
  • R, Python, LaTeX, SPSS