Yi Xiong(熊旖）
Assistant ProfessorDepartment of BiostatisticsSchool of Public Health and Health ProfessionsUniversity at BuffaloYi Xiong(熊旖）
Email: yxiong3@buffalo.edu
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Email: yxiong3@buffalo.edu
I am currently an Assistant Professor at the Department of Biostatistics, the State University of New York (SUNY) at Buffalo.
I was a postdoctoral fellow at Fred Hutchinson Cancer Center under the supervision of Dr. Li Hsu. I earned my PhD in statistics from the Department of Statistics at Simon Fraser University, under the supervision of Dr. Joan Hu and Dr. John Braun.
I received dual bachelor degrees in Computing Science from Zhejiang University, a university in my hometown Hangzhou (杭州) in China and Simon Fraser University in Vancouver, Canada.
My research is driven by three primary pursuits: (1) developing methods for sophisticated event history data to accommodate incompleteness, heterogeneity and covariate shift, (2) maximizing data utility of rigorous privacy-enhancing methods (e.g., differential-privacy model) in practical settings, (3) identifying causal pathways within multi-state event history data.
Education：
Simon Fraser University, Canada
PhD in Statistics
Simon Fraser University, Canada
M.Sc in Statistics
Simon Fraser University, Canada
B.Sc in Dual Degree Program of Computing Science (with Distinction)
Zhejiang University, China
B.Eng in Dual Degree Program of Computing Science
Selected publications:
Xiong, Y., Chan, K.C.G, Gorfine, M., and Hsu, L. Assessing the Benefits and Burdens of Preventive Interventions (2026) Statistics in Medicine. doi: 10.1002/sim.70410
Xiong, Y., Hu, X. J., and Rosychuk, R.J. Learning differences between two decades of mental health related emergency department visits by youth via recurrent events data analyses (2026) Journal of the Royal Statistical Society Series C: Applied Statistics. doi: 10.1093/jrsssc/qlag001
Xiong, Y., Braun, W. J., Duchesne, T., and Hu, X. J. Regression Analysis of Spatially Correlated Event Durations with Missing Origins Annotated by Longitudinal Measures (2023) Statistica Sinica, 33(4), 2431-2461.
Xiong, Y., Braun, W. J., and Hu, X. J. Estimating Duration Distribution from Data with Missing Time Origin. (2021) Lifetime Data Analysis 27(3): 388-412.
Guo, L., Xiong, Y., and Hu, X.J. Estimation in the Cox Cure Model with Covariates Missing Not at Random, with Application to Disease Screening/Prediction. (2020) Canadian Journal of Statistics, 48(4), 608-632.
Liu, L., Liu, Y., Xiong, Y., and Hu, X.J. (2019) Cox Regression of Clustered Event Times with Covariates Missing Not at Random. Scandinavian Journal of Statistics 46(4), 1315-1346.
Xiong, Y., Bingham, D., Braun, W. J., and Hu, X. J. (2019). Moran’s I statistic-based nonparametric test with spatio-temporal observations. Journal of Nonparametric Statistics 31(1), 244-267.
Bina, B., Schulte, O., Crawford, B., Qian, Z., and Xiong, Y. (2013). Simple decision forests for multi-relational classification. Decision Support Systems 54(3), 1269-1279.
Schulte, O., Bina, B., Crawford, B., Bingham, D., and Xiong, Y. (2013). A hierarchy of independence assumptions for multi-relational Bayes net classifiers. In Computational Intelligence and Data Mining (CIDM), 2013 IEEE Symposium on (pp. 150-159). IEEE.
Teaching:
STA521: Introduction to Theoretical Statistics I: Fall 2025, Fall 2026
STA522: Introduction to Theoretical Statistics II: Spring 2025, Spring 2026
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