Mathematics and Statistics Education
Course design, assessment strategy, and evidence-based instructional practices in quantitative disciplines.
Research
Interests
Probability and Data Science
Random graphs, network analysis, graph-based frameworks for exploratory data analysis.
Algebraic Combinatorics
Integer partitions, MacMahon operators, generating series approaches to modeling discrete structures.
Graph Theory
Generalized Johnson graphs and their cliques.
Courses
Courses
Current at McMaster University
STATS 2DA3
Fall 2026
An Introduction to Data Science Methods
Introduction to R for data science: data handling, predictive modelling, resampling, and elementary regression and clustering.
Open course pageSTATS 3A03
Fall 2026
Applied Regression Analysis with SAS
Linear regression, least squares, diagnostics, model building, and analysis of variance using SAS.
Open course pagePreviously taught
See all past courses →