Associate Member, Department of Computing and Software, McMaster University.
Director, MacDATA Institute, McMaster University.
Canada Research Chair in Computational Statistics (Tier 1).
President, The Classification Society.
Research focusing on computational statistics, 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, six Ph.D. students, two Master's students, and two undergraduate researchers.
Research monograph Mixture Model-Based Classification published by Chapman & Hall/CRC Press in August 2016.
Recent Open Access Publications
Murray, P.M., Browne, R.P. and McNicholas, P.D. (2017), 'Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering', Journal of Multivariate Analysis 161, 141-156. [doi]
McNicholas, P.D. (2016), 'Model-based clustering', Journal of Classification 33(3), 331-373. [doi]
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