Has experience with projects across various domains, particularly in precision health. Also conducts research into social network analysis, focusing on the discovery of meaningful structures or communities within large graphs of nodes and relationships.
Background
A Professor and Researcher in the Department of Computing Science at the University of Alberta, specializing in Data Mining and Machine Learning. His research interests involve discovering patterns and regularities in large complex data that can be actionable in real applications, with a particular focus on applied Machine Learning, Outlier detection, Clustering, Contrast sets, and other patterns. He is also involved in Social Network Analysis to discover meaningful structures called communities. Additionally, he works on many projects related to precision health.