Education

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PhD in Political Science, University of Western Ontario (expected completion: 2024).

• Dissertation title: “What structures Canadians’ environmental policy preferences?”
• Fields: Canadian Politics and Comparative Politics.

MA in Political Science, University of Calgary (2018).

• Thesis: “Direct and Indirect Effects of Authoritarianism on Policy Preferences in Canada.” DOI:10.11575/PRISM/33072.
• Fields: Canadian Politics and Comparative Politics.

BA (Hons.) in Political Science, University of Calgary (2010).

Methods Training

• Maximum Likelihood Estimation (with Dave Armstrong, Western University, Fall 2021).
• Regression and Causal Inference (with Mathieu Turgeon, Western University, Fall 2021).
• Qualitative Methods (with Martin Horak, Western University, Winter 2021).
• Machine Learning (with Dave Armstrong, Western University, Fall 2020).
• Regression Analysis II (with Tim McDaniel, ICPSR, Summer 2017).
• Measurement, Scaling, and Dimensional Analysis (with Bill Jacoby, ICPSR, Summer 2017).
• Research Methods in Race and Ethnicity (with Ozan Kalkan and Jamil Scott, ICPSR, Summer 2017).

Technical Skills

• R and RStudio: advanced proficiency including programming, package development, Shiny apps, and basic web scraping and text analysis.
• Stata: intermediate proficiency (data management, modelling, descriptive statistics).
• SPSS: basic proficiency (data management, descriptive statistics).
• Python: some proficiency (web scraping).
• Statistical techniques:
  • OLS & MLE estimation and post-estimation
  • Analysis of survey data
  • Measurement models (EFA, PCA, IRT)
  • SEM (CFA, path analysis)
  • Cluster analysis (kmeans, LCA/LPA, model-based clustering, hierarchical clustering)
  • Text analysis (LDA/topic modelling)