## Contact Info

## Research

**Research Area:** Computational Statistics

**Research Profile: ***Computational Statistics*

Dr. McNicholas' research focuses on computational statistics, and he is at the cutting edge of international research on mixture model-based clustering and classification. Current research includes work on big data featuring outlying or spurious points, with a focus on classification, clustering, dimension reduction and discriminant analysis. Another important aspect of Dr. McNicholas? current research is work on non-Gaussian mixture models, which present a useful alternative to the Gaussian mixture model. Work on clustering categorical data and data of mixed type is ongoing. Applications of Dr. McNicholas? research are readily found in several fields, including bioinformatics, sensometrics, and psychometrics.

Classification, clustering, computational statistics, data science, machine learning, mixture models

## Courses

**2017/2018**

Stats 4I03/6I03

Math 4P06A

Stats 4W03

**2016/2017**

Math 4P06

Stats 780

**2015/2016**

Math 4P06

Math 4W03

Stats 4W03

Stats 4M03