Professor and University Scholar, Department of Mathematics and Statistics, McMaster University.

Associate Member, Department of Computing and Software, McMaster University.

Director, MacDATA Institute, McMaster University.

E.W.R. Steacie Fellow.

Canada Research Chair in Computational Statistics (Tier 1).

Member, College of the Royal Society of Canada.

President, The Classification Society.

Research focusing on computational statistics, data science and machine learning, especially mixture model-based clustering and classification.

Current research includes work on non-Gaussian mixtures, matrix variate distributions, and real problems in big data analytics.

Research group currently comprises a PDF, five Ph.D. students, two Master's students, and three undergraduate researchers.

New monograph Data Science with Julia published by Chapman & Hall/CRC Press.

Research monograph Mixture Model-Based Classification published by Chapman & Hall/CRC Press.

Selected Recent Open Access publications
Silva, A.; Rothstein, S.J.; McNicholas, P.D. and Subedi, S. (2019), 'A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data'. BMC Bioinformatics 20:394. [doi]

McNicholas, P.D. (2019), 'Data science', FACETS 4(1), 131-135. [doi]

Prospective students
Prospective students are welcome to send an email but, due to the volume received, the vast majority will not receive a response.

Department of Mathematics & Statistics,
McMaster University,
1280 Main St. W., Hamilton, O
N L8S 4K1.
t: +1-905-525-9140, x 23419

Paul McNicholas