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Yuexing Li, PhD

​Assistant Professor

Johns Hopkins Carey Business School

Welcome to my academic portfolio! I am an Assistant Professor of Operations Management and Business Analytics at 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'll 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. 

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Data-Driven Decision Making

Machine Learning with AI and Statistical, icon only.jpg

Statistical/Machine Learning

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​Revenue Management

Dynamic Pricing, stand out the dynamic,

Dynamic Pricing

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​Inventory Control

Education

Duke University

Cornell University

Yale University

Peking University

M.Eng. in Operations Research

Ph.D. in Business Administration

M.S. in Biomedical Engineering

B.S. in Chemistry | B.A. in Economics


Publications

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