Ruomeng Cui
For more information on working with this expert, please contact:
Education
Ph.D., operations management, Kellogg School of Management at Northwestern University
Summary of Experience
Professor Cui specializes in using data analytics to assess the performance of operations and supply chain strategies in digital retail, digital entertainment, and platform markets. Her research focuses on causal-driven decision making, drawing on tools such as predict-then-optimize models, causal inference, causal machine learning, optimization, and economic analysis. She also serves as an Amazon Visiting Academic, working with the company’s Supply Chain Optimization Technologies team to build and implement supply chain decision models that have improved the purchasing experience of Amazon customers at lower supply chain costs, or with higher supply chain efficiency. Professor Cui has published dozens of papers on topics such as platform growth, procurement, pricing, fairness strategies, AI and its value creation, food delivery, information sharing, inventory availability information, logistics quality, and delivery speed. Professor Cui holds senior editorial positions at Management Science, Operations Research, Manufacturing & Service Operations Management, and Production and Operations Management. She has been designated as Goizueta Foundation Term Associate Professor, a distinction that is awarded to outstanding tenured research faculty. Prior to joining Emory University, Professor Cui was an assistant professor at the Kelley School of Business at Indiana University.