Assistant Professor, Statistics
5-107K, City Centre Campus10700 – 104 AvenueEdmonton, AB780-497-4120
Dr. Franczak received a BScH and a PhD in Statistics from the University of Guelph in Febrary 2010 and June 2014, respectively. From July 2014 – June 2016, he held a position as a postdoctoral fellow at McMaster University and from July 2016 onward he has held a position as an assistant professor (statistics) at MacEwan University. At MacEwan, Dr. Franczak has taught a wide variety of statistics courses at the first, second and third year level. In addition, he has maintained an active research program featuring multiple MacEwan students working on methodological projects in cluster analysis as well as applied projects in sports science and chemistry.
Available to supervise honours or individual study students.
Teaching and Research Interests
Dr. Franczak is interested in teaching a variety of statistics courses. Most recently, his focus has been on topics in regression analysis using linear models and generalized linear models. In addition, he has been active in helping to re-model the first-year statistics course, Stat 151, and has offered fourth-year reading courses in specialized topics like cluster analysis.
Selected Publications / Presentations / Conference Papers
Pesevski, A., Franczak, B.C., & McNicholas, P.D. (2018). Subspace clustering with the multivariate-t distribution. Pattern Recognition Letters, 112(1), 297–302.
Skinnider, M.A., Dejong, C.A., Franczak, B.C., McNicholas, P.D., & Magarvey, N.A. (2017). Comparative analysis of chemical similarity methods for modular natural products with a hypothetical structure enumeration algorithm. Journal of Cheminformatics, 9:46.
Franczak, B.C., Castura, J., Browne, R.P., Findlay, C.J., & McNicholas, P.D. (2016). Handling missing data in consumer hedonic tests arising from direct scaling: Imputation techniques for consumer hedonic tests. Journal of Sensory Studies. 31(6), 514–523.
Franczak, B.C., Browne, R.P., McNicholas, P. D., & Findlay, C. J. (2015). Product selection for liking studies: The sensory informed design. Food Quality and Preference, 44, 36–43.
Franczak, B.C., Tortora, C., Browne, R. P., & McNicholas, P. D. (2015). Unsupervised learning via mixtures of skewed distributions with hypercube contours. Pattern Recognition Letters. 58(1), 69–76.
Awards / Grants / Fellowships
Professional Associations / Memberships
Boards / Committees
The Classification Society, secretary/treasurer