Xiaoping Shi

Associate Professor

Mathematics, Statistics

Office: SCI 108
Phone: 250.807.9289
Email: xiaoping.shi@ubc.ca

Research Summary

AI engineers frame problems with networks; statisticians tackle them with statistics. Bridging these paradigms, my research in statistics and data science spans change-point detection, saddlepoint approximations, robust nonparametrics, outlier identification, k-sample problems, and clustering methods.

Biography

Dr. Xiaoping Shi received his PhD in Statistics from York University. Following postdoctoral research at the University of Toronto, and teaching there and at York University and St. Francis Xavier University, he joined TRU in 2015 as an Assistant Professor in the Department of Mathematics and Statistics. His promotion to Associate Professor at TRU was announced in 2021. Later, he joined UBCO as an Assistant Professor in the Department of Mathematics, Physics and Statistics.

Websites

sci-r4sc-2021.sites.olt.ubc.ca

Degrees

PhD (York University)

Research Interests & Projects

His current areas of expertise include change point analysis, data sharpening, saddle point approximation, inverse moment approximation, k-sample inference, and cluster analysis.

Selected Publications & Presentations

Google Scholar

Selected Grants & Awards

• 2024.1-2025.1, $25,000, NSERC Alliance International Catalyst Grants (PI)
• 2023.2-2023.12, $30,000, Mitacs Accelerate (PI)
• 2022-2027 and 2016-2022, $18,000 per annum, NSERC, Discovery grant (PI)
• 2021-2024, $80,000, UBC Aspire funds (PI)
• 2021-2022, $50,000, The Interior Universities Research Coalition and the BC Ministry of Health (CI)