Panel 2

Panel 2: Data Science for Business Analytics

Panelists (Alphabetical Order):


Xiao Fang

Dr. Xiao Fang is an Associate Professor of Information Systems at the David Eccles School of Business, University of Utah. He received his Ph.D. in Management Information Systems from the University of Arizona. He studies data-driven business analytics with research methods and tools drawn from reference disciplines including Management Science (e.g., optimization) and Computer Science (e.g., Machine Learning). He has published in business journals such as Operations Research, Information Systems Research, INFORMS Journal on Computing, and Journal of Management Information Systems as well as computer science outlets including IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, and ACM Transactions on Internet Technology. He serves as an AE of Decision Sciences and co-chairs annual Utah Winter Conference on Business Intelligence.


Beibei Li

Dr. Beibei Li is an Assistant Professor of Information Systems and Management at Carnegie Mellon University. She received her PhD from Leonard N. Stern School of Business, New York University. Beibei’s research interests focus on exploring how large-scale, fine-grained individual information can help understand human behavior and interactions across channels, and how the digitalization of human behavior can lead to transformations in various domains, such as marketing, finance, healthcare, and urban transportation. Beibei is the winner of the Google Faculty Research Award (2015), the Adobe Faculty Research Award (2015), and the Junior Marketing Researcher Award (2015). She won Best Paper Awards at WWW 2011 and ICIS 2012. She is also the winner of the INFORMS ISS Nunamaker-Chen Dissertation Award (2013), the ACM SIGMIS Doctoral Dissertation Award (2012) and the Herman E. Krooss Doctoral Dissertation Award (2012).


Yong Tan

Dr. Yong Tan is the Neal and Jan Dempsey Professor of Information Systems at the Michael G. Foster School of Business, University of Washington, and Chang Jiang Scholar Chair Visiting Professor at the School of Economics and Management, Tsinghua University. He is a senior editor of Information Systems Research and Journal of Electronic Commerce Research, and on the board of editors of Journal of Management Information Systems. His research interests include electronic and mobile commerce, social media and technologies, big data, economics of information systems, social and economic networks, and software engineering. He has published in Management Science, Information Systems Research, Operations Research, Management Information Systems Quarterly, Journal of Management Information Systems, among others. He served as an associate editor of Information Systems Research and Management Science, and was a co-chair of Conference on Information Systems and Technology (CIST 2010), the cluster chair of 2012 INFORMS Information Systems Cluster, a track co-chair of International Conference on Information Systems (ICIS 2013), and a co-chair of Workshop on Information Technologies and Systems (WITS 2014). He received many research, teaching and service awards, such as Association for Information Systems (AIS) Best Publication of 2012 Award, Lex N. Gamble Family Award for Excellence in the Field of E-Commerce, Ph.D. Program Mentoring Award, and Management Science Meritorious Service Award. He has advised 10 doctoral students who are on the faculty of top schools such as Carnegie Mellon University, Purdue University, and Indiana University.


Yinghui Yang

Dr. Yinghui (Catherine) Yang is an associate professor of the Graduate School of Management at University of California, Davis. She received her Ph.D. in Operations and Information Management from The Wharton School at the University of Pennsylvania. Dr. Yang’s research focuses on business intelligence,   data mining methods for business applications, search advertising, online shopping patterns analysis, service marketing, segmentation, user profiling, etc. Her research has been published in top-tier journals in Information Systems, Marketing and Computer Science, including Marketing Science, INFORMS Journal on Computing, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Database Systems, etc.


Dongsong Zhang

Dr. Dongsong Zhang is a tenured Full Professor in the Department of Information Systems at the University of Maryland, Baltimore County. He received his Ph.D. in Management Information Systems from the Eller School of Management at the University of Arizona in 2002. He is the Graduate Program Director of Online MS in Information Systems. His current research interests include mobile HCI, social computing, health IT, business intelligence, and online communities. He has published approximately 130 research articles in journals and conference proceedings, including premier journals such as MIS Quarterly, Communications of the ACM (CACM), Journal of Management Information Systems (JMIS), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Software Engineering, IEEE Transactions on Multimedia, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Human-Machine Systems, IEEE Transactions on Professional Communication, IEEE Intelligent Systems, Decision Support Systems, Information & Management, Journal of the American Society for Information Science and Technology, among others. He has received research grants and awards from National Science Foundation (NSF), National Institute of Health (NIH), National Natural Science Foundation of China, Chinese Academy of Sciences, Google Inc., the Royal Society of British, and UMBC, etc. According to Google Scholar, his work has been cited approximately 5,000 times.