Yuexing Li, PhD
Assistant Professor
| Academic Area | Operations Management & Business Analytics |
|---|---|
| Academic Area | Marketing |
Yuexing Li joined the Carey Business School in Fall 2022. His research centers around the design and analysis of data-driven algorithms for dynamic decision making under uncertainty. By leveraging and developing various statistical learning and machine learning methods, his works advance the theoretical understanding of cutting-edge data-driven analytics and create real impact across multiple industries. His works have won the INFORMS Data Mining Best Paper Competition and have been selected to present on the Spotlight track at the INFORMS RM&P Conference.
Education
- PhD, Operations Management, Duke University
- MS, Operations Research, Cornell University
- MS, Biomedical Engineering, Yale University
- BA, Economics, Peking University
- BS, Chemistry, Peking University
Research
Selected publications
- "Multiperiod Stock Allocation via Robust Optimization" with P.L. Jackson & J.A. Muckstadt (2019), Management Science, 65(2):794-818
- "Data-driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment" with N.B. Keskin & J.-S. Song (2022), Management Science, 68(3): 1938-1958
Working papers
- "Data-driven Clustering and Feature-based Retail Electricity Pricing with Smart Meters" with N.B. Keskin & N. Sunar
- "Deep Learning for Visual Advertising on Digital Platforms: Asymptotically Optimal Image Selection" with N.B. Keskin, S. Liu, & J.-S. Song
- "A Unified Parsimonious Model for Structural Demand Estimation Accounting for Stockout and Substitution" with Y. Deng & J.-S. Song
Teaching
Current
- Business Analytics
Honors and distinctions
- INFORMS 2020 Data Mining Best Paper Competition (winner)
- INFORMS 2021 RM&P Conference Spotlight Presentation