Galit Shmuéli is Associate Professor of Statistics in the department of Decision, Operations & Information Technologies at the Smith School of Business, University of Maryland. She is co-director of the eMarkets research lab, and affiliated with the Center for Health and Information Decision Systems. Dr. Shmueli's research focuses on statistical and data mining methods for modern data structures, with a focus on "statistical strategy" - issues related to how data analytics are used in scientific research. Her main field of application is information systems (in particular, electronic commerce).

Dr. Shmueli's research has been published in the statistics, information systems, and marketing literature. She has authored over fifty journal articles and book chapters, has co-authored several books, and is on the editorial boards of several journals. She presents her work nationally and internationally.

After receiving her PhD in Statistics from the Israel Institute of Technology in 2000, Dr. Shmueli was visiting faculty at Carnegie Mellon University's statistics department, where she became involved in the early research in biosurveillance. After moving to the University of Maryland, she initiated with Dr. Jank a new research field on the interface of statistics and information systems called "statistical methods in eCommerce". This now highly active interdisciplinary field has generated important advancements in empirical eCommerce research.

Dr. Shmueli is passionate about teaching statistics and data mining and improving their application in the business environment. Her recent co-authored textbook "Data Mining for Business Intelligence" is part of her effort to create analytically-savvy MBAs.