معرفی
Brian Franczak is an Associate Professor at MacEwan University's Faculty of Arts and Science, Department of Mathematics and Statistics. He earned his PhD from the University of Guelph and completed a postdoctoral fellowship at McMaster University before joining MacEwan in 2016.
- Expertise: Classification, computational statistics, finite mixture modeling, high-dimensional data analysis, statistical learning
- Teaching: Courses across all academic levels including Stat 151 (Introduction to Applied Statistics) and Stat 350 (Sampling Theory)
Research Interests: Developing mixtures of multivariate distributions for classifying asymmetric data, with recent extensions to high-dimensional data, missing values, and outlier detection. His work spans interdisciplinary applications in sports science, neuroscience, and environmental science.
Publications Trends: Focus on probabilistic modeling with asymmetric distributions, including shifted asymmetric Laplace mixtures and coalesced generalized hyperbolic distributions. Methodological innovations address challenges in clustering, classification, and discriminant analysis, with applications in environmental science and behavioral biology.
Scientific Awards:
- Chancellor's Research Chair (2025)
- NSERC Discovery Grants (2025–2029 and 2017–2023)
- Chikio Hayashi Award (2019)
Professional Roles: Associate Editor for Journal of Classification, Secretary/Treasurer of The Classification Society, member of Statistical Society of Canada. His lab trains MacEwan students in methodological research and interdisciplinary collaborations.
