Director, MacDATA Institute, McMaster University.
Canada Research Chair in Computational Statistics (Tier 1).
Editor-in-Chief, Journal of Classification.
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 two postdoctoral fellows, nine Ph.D. students, three Master's students, and an undergraduate researcher.
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 publication
Georgiades, S., Tait, P.A., McNicholas, P.D., et al., ‘Trajectories of symptom severity in children with autism: Variability and turning points through the transition to school’, Journal of Autism and Developmental Disorders. To appear. [doi]
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, ON L8S 4L8.
t: +1-905-525-9140, x 23419 e: mcnicholas [at] math.mcmaster [dot] ca