Fei Long’s research interests lie in understanding important and emerging phenomena in marketing, typically those driven by the digital economy. She uses both theoretical modeling and data-driven approaches.
She studies digital advertising and e-commerce platforms, and problems at their intersection. She also is interested in topics in agency theory and salesforce compensation.
Dr. Long’s teaching interests include digital marketing and business analytics.
As a research intern with Hewlett-Packard/Columbia University in Palo Alto, she helped develop a unified big-data framework for pricing, customer segmentation, new product introduction and competitive analysis. She also worked as a quantitative researcher in finance industry, where she applied machine learning to predict loan default rates on a peer-to-peer lending platform.
She received her PhD in business from Columbia Business School. She earned an MS in operations research from Columbia University, and she received her BE in electrical engineering from Tsinghua University.