Summary
Matthew Sigal is a lecturer and quantitative methods specialist with a PhD from York University and 14 years of experience applying advanced statistical theory to real-world problems. Based in Vancouver, he combines academic teaching at Simon Fraser University with independent and partnered consulting work focused on data visualization, multivariate methods, item response theory, multilevel and structural equation modeling, and survival analysis. He has deep practical psychometrics experience from industry work at Multi-Health Systems and has developed curricula and short courses in R and SPSS for diverse audiences. Proficient in R, SAS, SPSS, MATLAB and MPlus, he translates complex models into actionable insights for clients and students alike. Less obvious is his long-running commitment to communicating statistics visually—he builds tools and materials that make truly multivariate analyses interpretable rather than merely computable.
14 years of coding experience
1 year of employment as a software developer
PhD, Psychology, PhD, Psychology at York University
BA, Psychology, BA, Psychology at Bishop's University
English