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Beibei Li

PhD Profile Body Beibei Li 2
Beibei Li, a recent PhD graduate of NYU Stern’s Information Systems group, is already succeeding at her goal of conducting high-quality research. Her work has been published in several major conferences and workshops, and she recently received the “Best Paper Award” at the 20th International World Wide Web Conference (WWW 2011), the premier international event for Internet-related research. Her paper, “Towards a Theory Model for Product Search,” co-authored with IS professors Anindya Ghose and Panagiotis Ipeirotis, was selected from more than 650 submissions from scholars around the world. Beibei has another paper currently under revision for Marketing Science, a top journal in Marketing.

Beibei’s research focuses on the economics of information technology. In particular, how knowledge created in various channels mediated by social media today affects the behavior of various players in the market (e.g., how does online word-of-mouth change the economic decisions of consumers, and how does it change the marketing strategies of firms and search engine companies?) To explore the answers to these questions, Beibei applies econometric structural modeling, Bayesian modeling framework, combined with techniques from machine learning and experimental research.

According to Beibei, the collaborative environment at Stern has been a strong contributor to her research success. “People at Stern are sharp, smart and very amiable. People in my department care about each other, from one’s new research to one’s new born baby - just like a big warm family. I deeply enjoy working with such a tight-knit group of people to achieve cutting-edge research outcomes.”

Prior to attending Stern, Beibei earned her BS/ME degrees in Computer Science from Donghua University in Shanghai, China, and her MS in Computer Science from the University of Kentucky.

Upon receiving her PhD from Stern, Beibei joined the faculty at Carnegie Mellon where she continues to conduct research at the crossroads of economics and sociology.