Bio

Dr. Shengkun Xie is an Associate Professor in Global Management Studies at the Ted Rogers School of Management, Toronto Metropolitan University. His research combines applied statistics, machine learning, and actuarial modelling to advance methods for understanding complex data and supporting informed decisions in insurance, finance, healthcare, and engineering.

Dr. Xie has established a substantial interdisciplinary research record, including 47 refereed journal articles, 29 refereed conference papers, and eight book chapters. His work has appeared in journals such as Expert Systems with Applications, Journal of Management Analytics, ISA Transactions, and Journal of Computational Science. His research accomplishments include a five-year NSERC Discovery Grant for 2025–2030, an additional NSERC early researcher award, and repeated research recognition funding from the Ted Rogers School of Management.

A central focus of his recent research is the development of interpretable statistical and machine learning methods for insurance risk analysis. His contributions address geographical rating territories, spatial and temporal variation in insurance losses, loss distribution modelling, insurance fraud detection, and the explainability and fairness of automobile insurance pricing. His broader research encompasses high-dimensional data analysis, functional data analysis, biomedical signal classification, simulation-based modelling, and reinforcement learning for control. Across these areas, he connects methodological development with practical problems requiring transparent and reliable analysis.

Dr. Xie brings valuable regulatory and industry experience to his academic work. From 2012 to 2015, he served as a statistical consultant to the Financial Services Commission of Ontario, contributing expertise relevant to automobile insurance rate regulation. Earlier, he worked in information technology as a product manager and statistical specialist. He also contributes to the research community through editorial board service with Risks and Computation, journal and grant reviewing, international conference committees, and the supervision and mentoring of graduate students and research trainees.

Dr. Xie earned his Ph.D. in Applied Statistics from the University of Guelph in 2010, following master’s degrees in actuarial science from the University of Western Ontario and financial mathematics from Wilfrid Laurier University, and a bachelor’s degree in computational mathematics from Harbin Institute of Technology. He subsequently held a MITACS Elevate Strategic Postdoctoral Fellowship, conducting research on advanced health technologies and statistical methods for biomedical data.

Outside his professional life, Dr. Xie enjoys time with his wife and their two sons.