[2] In 2015, McNicholas was awarded the Tier 1 Canada Research Chair in Computational Statistics.
[3] McNicholas uses computational statistics techniques, and mixture models in particular, to gain insight into large and complex datasets.
He has published works on clustering high-dimensional data and the use of non-Gaussian mixtures.
[9] McNicholas has published two monographs: Mixture Model-Based Classification[10] and Data Science with Julia.
Steacie Memorial Fellowship from the Natural Sciences and Engineering Research Council of Canada.