Dr. Shaoyin Du's research interests are in digital marketing, online platform pricing strategies, policy evaluation, and online consumer behavior. Her research focuses on using quantitative methods, including causal inference with machine learning and structural modeling, to understand consumers’ responses to price transparency, their privacy preferences in online advertising settings, and their online grocery shopping behaviors. One of her research papers, which studies consumer privacy choices in the digital advertising context, was published in Marketing Science and is the winner of the John D.C. Little Award.
Ph.D., Marketing, University of Rochester
M.S., Business Administration, University of Rochester
M.A., Economics, University of Mississippi
B.B.A., Tourism Management, Fudan University
Personal website: www.shaoyindu.com