Ruomeng Cui

Ruomeng Cui is the Goizueta Foundation Term Associate Professor in the Department of Information System and Operations Management at the Goizueta Business School, Emory University. Her research investigates how operations strategies create and deliver value in companies' digital transformation, with a focus on how digitization reshapes competition and operations.

Her educational background includes:

• PhD in Operations Management, Northwestern University, Kellogg School of Management
• BSc in Industrial Engineering, Tsinghua University

Professor Cui specializes in causal-driven decision making, identify-then-optimize models, and causal machine learning, with core research areas spanning Digital Retail, Platform Markets, Supply Chain Management, and Data-driven Decision Systems. Her work employs field experiments and empirical analysis to address real-world operational challenges in digital ecosystems.

Recent publications demonstrate consistent focus on causal inference applications, examining pandemic impacts on academic productivity, logistics valuation in e-commerce, discrimination reduction in sharing platforms, and inventory information effects. These studies reveal methodological trends emphasizing experimental design and real-world business implications.

Her accolades include:

• 2022 POMS Early Career Research Accomplishments Award
• 2019 INFORMS JFIG Paper Competition award
• 2019 M&SOM Practice-Based Paper Competition award
• 2017 INFORMS Behavioral Section Best Working Paper award
• 2014 POMS Supply Chain Management Student Paper Competition award

Professor Cui maintains deep industry engagement through consulting for Amazon, Alibaba, JD.com, and PepsiCo, plus collaborations with Tencent and Meituan. Since 2022, she has served as a visiting scholar at Amazon SCOT, developing causal inference models for supply chain optimization. She holds associate editorial positions at Management Science, Operations Research, M&SOM, and POM, and her research has received coverage from NPR, Financial Times, and Harvard Business Review.