Yuexing Li
（李跃星）
Assistant Professor
Welcome to my website! I am an Assistant Professor of Operations Management and Business Analytics at the Johns Hopkins Carey Business School.
My research focuses on the design and analysis of data-driven algorithms for dynamic decision-making under uncertainty. Here, you will find information about my research, teaching, and professional background.
Research Interests
I am broadly interested in designing and analyzing data-driven algorithms to facilitate decision-making under uncertainty. I leverage and develop various statistical and machine learning methods, including deep learning, and combine them with dynamic pricing, inventory control, and optimization to solve complex operational problems in the big data era.
My work advances the theoretical foundation of data-driven analytics and significantly improves performance in real-world applications across multiple industries, including grocery retailing, energy, and digital platforms.
Data-Driven Decision Making
Statistical/Machine Learning
Revenue Management
Dynamic Pricing
Inventory Control
Education
Duke University
Cornell University
Yale University
Peking University
Ph.D. in Business Administration
M.Eng. in Operations Research
M.S. in Biomedical Engineering
B.S. in Chemistry | B.A. in Economics
