Bio

Shengkun Xie completed a Ph.D. degree in applied statistics at the University of Guelph, Guelph, ON, Canada, in 2010. He holds an M.S. degree in statistical science (specialization: actuarial science) from the University of Western Ontario, London, ON, Canada, and a second M.S. degree in mathematics for finance and science from the Wilfrid Laurier University, Waterloo, ON, Canada, which he obtained in 2005 and 2006, respectively, after earning a B.S. degree in computing and information at the Harbin Institute of Technology, Heilongjiang, China.

Dr. Xie's doctoral research focused on problems in developing new multivariate statistical methods for multivariate data feature extraction, abnormal event detection, and data classification and clustering. In 2010, Dr. Xie joined the SAR group as a MITACS Elevate Strategic Postdoctoral Fellow engaged in research on advanced health technology. His statistical expertise centers primarily on the area of statistical machine learning, risk modelling, time series analysis, biomedical signal pattern recognition, multivariate statistical methods, and functional data analysis. Dr. Xie also has vast work experience outside academia.

Dr. Xie's most recent research is focusing on the development of suitable methodologies for analyzing high dimensional data from computer simulation study. He is also interested in working on research projects related to auto insurance rate-making methodologies, such as territorial risk analysis, loss trend estimate and predictive modeling of insurance risk, to name a few.

Dr. Xie is a father of two smart and handsome boys and a husband of a supportive, caring and brilliant wife.