Beibei Li

Beibei Li is Anna Loomis McCandless Chair and Professor of IT and Management at Heinz College. She hold joint appointment at Tepper School of Business and courtesy appointment at School of Computer Science (Human-Computer Interaction Institute). She received her Ph.D. with distinction from Leonard N. Stern School of Business at NYU.

Beibei’s research interests lie at the intersection between social and technical aspects of technology. She is especially interested in the interaction between human decisions and recent technological disruptions. Specifically, the ubiquitous digitization of individual behavior across digital and physical environments provides us with a new lens through which we can better monitor, understand, and optimize individual decision-making. By looking into these digital footprints of individuals and their interactions with technologies, Beibei is interested in designing effective strategies for technology platforms and policymakers to improve technology design and economic welfare. To reach these goals, Beibei applies inter-disciplinary approaches combining econometrics, economic structural modeling, Bayesian modeling, and randomized experiments, with crowd-sourcing and machine learning/deep learning techniques.

Beibei is the recent recipient of the INFORMS ISS Sandy Slaughter Early Career Award in 2019 and the Anna Loomis McCandless Chair Professorship at Carnegie Mellon University in 2015. Beibei's research has been published in Management Science, Marketing Science, Information Systems Research, Management Information Systems Quarterly, and several tops IS, Economics, Marketing, and CS conferences. She is the winner of the Best Paper Award at the 20th International World Wide Web Conference (WWW 2011), two Best Paper Awards at the International Conference on Information Systems (ICIS 2012 and ICIS 2019), several Best Paper Awards at major journals and workshops in IT & Management (ISR, WITS, WISE, CIST). She has won three NSF Awards with over $3M total funding, five Faculty Research Awards from Amazon, Google, Facebook, Adobe, and Marketing Science Institute (MSI), and a WCAI Research Award from Wharton Customer Analytics Initiative. Beibei is the winner of the Junior Marketing Researcher Award at the Big Data Marketing Conference 2015. She is also the winner of the INFORMS ISS Nunamaker-Chen Dissertation Award, the ACM SIGMIS Best Doctoral Dissertation Award, and the Herman E. Krooss Doctoral Dissertation Award in 2012-2013.

Prior to getting her Ph.D., Beibei held a BS and an MS in Computer Science. She also minored in Fashion Design.