معرفی
Dr. Yueyang Zhong is an Assistant Professor of Management Science and Operations at London Business School, specializing in stochastic modeling and optimization of human-centered service systems. She holds a PhD from the University of Chicago Booth School of Business and a bachelor's degree from Tsinghua University.
- Research Interests: Strategic queueing, data-driven decision-making, equitable resource allocation, healthcare operations, and robust mechanism design in the digital economy.
- Academic Background: BA in Industrial Engineering and Economics (Tsinghua, 2018), MBA (Chicago Booth, 2020), PhD in Management Science and Operations Management (Chicago Booth, 2023).
Her work integrates operations research, game theory, and machine learning to design policies that align individual incentives with system goals, particularly in service and healthcare domains. She has developed novel algorithms for queueing systems and explored information design in high-stakes industries. Dr. Zhong has served as a referee for top journals and conferences, including Operations Research and INFORMS, and has industry experience in AI-driven consulting and research internships with DiDi, Pinterest, and trading firms.
Key Awards:
- Finalist, 2022 INFORMS IBM Best Student Paper Award
- Finalist, 2021 INFORMS Conference on Service Science Best Student Paper Award
