Tianyi Xu

About

My research focuses on developing AI-driven methods to support robust decision-making in complex operational systems. Specifically, I work on statistical and machine learning approaches that capture structural changes, quantify uncertainty, and model rare or safety-critical events. Applications of my work span healthcare operations, energy systems, and transportation.

Education

• Ph.D., Industrial and Operations Engineering, University of Michigan, Ann Arbor, 2023–Present
• M.S., Applied Statistics, Univeristy of Michigan, Ann Arbor, 2021-2023
• B.S., Statistics, The Chinese University of Hong Kong, Shenzhen, 2018-2022

Publications

• Xu, T., Bos, H., Byon, E., Lavieri, M. S., Renius, K., & Sweet, B. V. (2025). Forecasting hospital drug demand for demand patterns with changepoints. IISE Transactions on Healthcare Systems Engineering, 15(3), 269–286. (Featured in ISE Magazine, November 2025)
• Cohen, J., Xu, T., Jang, Y., Du, P., Byon, E., & Huan, X. (2025). Inverted transformers for effective post-calibration in multisite wind power forecasting. Wind Energy, 28(10), e70057.
• Hector, E. C., Zhang, D., Tian, L., Feng, J., Yin, X., Xu, T., … & Yu, T. (2025). Dissecting genetic regulation of metabolic coordination. Briefings in Bioinformatics, 26(2), bbaf095.
• Chen, D. W., Banerjee, M., Xu, T., Worden, F. P., & Haymart, M. R. (2023). Real-world use of systemic therapies for the treatment of advanced thyroid cancers. Endocrine Practice, 29(11), 868–874.
• Wang, J., & Xu, T. (2021). Environmental impact of information communication technology: A review of econometric assessment methods, influential mechanism, and influential direction. Environmental Impact Assessment Review, 89, 106590.

Conferences

• Xu, T. (2025). Online Multiple Changepoint Detection for Circular Data. Oral presentation at the INFORMS Annual Meeting, Atlanta, GA.

Teaching

• Graduate Student Instructor, IOE 447: Facility Planning (Fall 2024)
• Graduate Student Instructor, IOE 265: Probability and Statistics for Engineers (Winter 2025)
• Graduate Student Instructor, ISD 521: Development and Verification of System Design Requirements (Fall 2025)
• Graduate Student Instructor, ISD 527: Designing in Quality: Design for Six Sigma (Winter 2026)

Service & Leadership

• Graduate Application Mentoring Program (GAMP) Planning Committee
  University of Michigan, Industrial & Operations Engineering   |   01/2024 – Present