Summary
Michael Moon is an Assistant Professor (Teaching Stream) and PhD candidate in Statistics at the University of Toronto with a decade of experience bridging applied data science, biostatistics, and engineering. His background spans academia and industry—designing statistical analyses for children's psychology research, building data-driven solutions as a data scientist at startups, and improving processes in consulting and QA roles—giving him a pragmatic, interdisciplinary approach to teaching and research. He holds an M.Sc. in Biostatistics (4.0 GPA) and a BASc in Systems Design Engineering, and his teaching history includes leading tutorials in linear algebra, calculus, and statistics. Michael’s work emphasizes translating complex quantitative methods into accessible learning and practical tools, informed by real-world deployments and strong experience automating analysis and testing pipelines. Notably, his trajectory from technical co-op roles to academic appointment highlights a consistent focus on reproducible data workflows and pedagogy.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Toronto
Bachelor of Applied Science (BASc), Systems Design Engineering, 86/100, Bachelor of Applied Science (BASc), Systems Design Engineering, 86/100 at University of Waterloo
English, Korean, Japanese, Chinese