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Biographical Information
Paul McNicholas is an Assistant Professor at the
Department of Mathematics & Statistics, University of Guelph. Paul was educated at Trinity College Dublin, Ireland, where he read mathematics, high-performance computing and statistics. His qualifications are listed below.
- PhD in Statistics, Trinity College Dublin, 2007.
- MSc in High Performance Computing, Trinity College Dublin, 2007.
- BA in Mathematics, Trinity College Dublin, 2004 (MA, 2007).
Paul's primary research concerns model-based clustering and classification. In addition, he has conducted research in other applications of mixture models, such as cure rates in survival analysis, and in data mining. Work in cure rate modelling has focused on process-based approaches, and data mining work has focused on association rule mining.
Applications of Paul's research can be seen most readily in areas like bioinformatics, food authenticity and sensory science. Applications of his sensory science work are the subject of a current industrial collaboration. Paul's research team currently comprises three PhD students and seven MSc students and is based at the Newton Lab in the MacNaughton building at the University of Guelph. Paul's research team is currently supported by the Natural Science & Engineering Research Council of Canada, the Canada Foundation for Innovation, the Ontario Research Fund, and industry support.
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