Galit Shmueli, PhD, is Director of the Center for Service Innovation and Analytics at National Tsing Hua University’s College of Technology Management. Previously she was the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics and Information Systems at the Indian School of Business. Shmueli’s research focuses on statistical and data mining methodology with applications in information systems and health care. She is author of six books, including the popular textbook Data Mining for Business Intelligence, and over 60 publications in peer-reviewed journals and books. Her papers To Explain or to Predict? and Predictive Analytics in Information Systems Research have attracted much attention and won several research and best paper awards.

Shmueli was Visiting Assistant Professor at Carnegie Mellon University’s Statistics Department when she first became involved in early biosurveillance research and efforts. Her working collaboration with the Johns Hopkins Applied Physics Lab received a three-year award from the Centers for Disease Control and Prevention. Shmueli’s work in information systems started in 2002, when she joined University of Maryland’s Robert H. Smith School of Business to focus on electronic commerce and online auctions. Shmueli is Senior Editor at Decision Sciences Journal (Analytics section) and associate editor for the top journals Annals of Applied Statistics, JASA Reviews and The American Statistician Reviews. In addition to her academic work, Shmueli has provided consulting services to private companies and to US government and state agencies.