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Source code for the data analysis and models, including the FewSOC prompting framework for O*NET-SOC classification, used in the paper "Leveraging Large Language Models for Career Mobility Analysis: A Study of Gender, Race, and Job Change Using U.S. Online Resume Profiles."
Open-science data and reproducible R/Python analyses for Wan et al. (2024) on age, household income, psychological distress, and delay discounting across adulthood.
Multilevel analysis of neighborhood effects on redistribution attitudes in the Netherlands. Dual R/Python pipelines, interactive dashboards, and reproducible research design.
Multilevel model (lme4) of attitudes toward Roma in the workplace across 28 EU countries. Eurobarometer 493, N=27,438. Individual and country-level predictors with multiple imputation via mice.
Open research compendium for Wan et al. (2021): data, Bayesian multilevel analyses in R and Python, figures, and materials on food sharing and social choice in rats.
MSc thesis: interest group prominence in U.S. congressional floor speeches. SVM classifier (F1=0.79), multilevel regression, 114th-115th Congress. Full thesis PDF included.