Tennenbaum Early Career Professor and
Assistant Professor
Education
- Ph.D. Technology, Operations, and Statistics, Stern School of Business (2021), New York University
- B.S. Industrial Engineering (2015), Tsinghua University
About
Shixin Wang is currently a Tennenbaum Early Career Professor and Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Institute of Technology. Prior to joining Georgia Tech, she was an Assistant Professor in the Department of Decisions, Operations and Technology at The Chinese University of Hong Kong (CUHK) Business School from 2021 to 2025. Her research interests lie in developing simple and robust pricing policies in revenue management, and designing sparse and reliable networks in supply chain and service systems.
Shixin Wang obtained her Ph.D. degree in Operations Management from New York University Stern School of Business (2021), and her Bachelor of Science degree in Industrial Engineering from Tsinghua University (2015).
Research
I design simple, implementable solutions that remain effective when data are scarce, noisy, or shifting. Methodologically, I use robust and stochastic optimization and game theory to (i) develop practical pricing and selling strategies that maximize revenue under limited or uncertain market information, and (ii) create cost-effective, reliable network structures and resource-allocation policies for supply chains and service systems that achieve near-optimal performance (e.g., higher profit, lower wait costs, and compliance with service-level agreements).
Teaching
My teaching focuses on equipping students with rigorous analytical tools to understand and design complex economic and operational systems. The courses I teach cover topics such as demand and production theory, pricing and revenue management, inventory strategies, auctions, and mechanism design, with an emphasis on connecting theoretical models to real-world applications in logistics, digital platforms, and market design. I aim to help students develop both strong analytical foundations and economic intuition for strategic decision-making under uncertainty, while learning how microeconomic principles, game theory, and optimization models inform decisions in supply chains, markets, and strategic interactions.
Representative Publications
- The Power of Simple Menus in Robust Selling Mechanisms, Management Science, 71(6), pp. 5268-5287, 2025.
- Finalist, INFORMS Junior Faculty Interest Group (JFIG) Paper Competition, 2023
- Third Place, INFORMS Service Science Best Cluster Paper Award, 2024
- Minimax Regret Robust Screening with Moment Information, with Shaoxuan Liu and Jiawei Zhang, Manufacturing & Service Operations Management, 26(3), pp. 992-1012, 2024.
- Achieving High Individual Service-Levels without Safety Stock? Optimal Rationing Policy of Pooled Resources, with Jiashuo Jiang and Jiawei Zhang, Operations Research, 71(1), pp. 358-377, 2023.
- Robust Optimization Approach to Process Flexibility Designs with Contribution Margin Differentials, with Xuan Wang and Jiawei Zhang, Manufacturing & Service Operations Management, 24(1), pp. 632-646, 2022.
- A Review of Flexible Processes and Operations, with Xuan Wang and Jiawei Zhang, Production and Operations Management, 30(6), pp.1804-1824, 2021.