Quantitative psychologist specializing in psychometrics, multilevel modeling, and advanced data analysis. I help researchers and organizations make sense of complex data.
Scale development, factor analysis (EFA/CFA), item response theory, reliability and validity assessment.
Hierarchical linear models, growth curve modeling, cross-classified and multiple membership models.
Study design optimization, sample size planning, simulation-based power analysis for complex designs.
R and Python pipelines, reproducible analyses, publication-ready figures and tables.
I'm a quantitative psychologist at the University of British Columbia, where I work on personality judgment, psychometric methods, and computational approaches to behavioral science. My research combines advanced statistical modeling with AI-driven data pipelines to extract insights from complex datasets.
I bring this same rigor to consulting — whether you need help designing a study, building an analysis pipeline, or interpreting results for publication.
Interested in working together? Reach out and let's discuss your project.
raymond@raymondli.me