Associate Professor of IT and Management
Beibei Li is Anna Loomis McCandless Chair and Associate Professor of IT and Management. She received her PhD 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 information technology. She is especially interested in the interaction between human decisions and recent technological disruptions in both online and offline markets. Specifically, the ubiquitous adoption and usage of smart and connected mobile, web and sensor technologies today have completely changed the way individuals behave and make decisions. These smart technologies have led to the pervasive digitization of individual behavior across digital and physical environments at a very fine-grained level. This information provides us with a new lens through which we can better monitor, understand, and optimize the 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 policy makers 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 top 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 PhD, Beibei held a BS and a MS in Computer Science. She also minored in Fashion Design.
- 94-832 - Business Intelligence & Data Mining SAS