Maytal Saar-Tsechansky is an Associate Professor of Information, Risk and Operations Management at the McCombs School of Business, The University of Texas at Austin. She is currently also a Visiting Faculty at the Judge Business School at the University of Cambridge.
Her research interests include machine learning and data mining methods for data-driven business intelligence and decision making. Her research has been published in the Journal of Finance, Management Science, Information Systems Research, Journal of Machine Learning Research, and Machine Learning Journal, among other venues. She serves on the editorial board of the Machine Learning Journal, is an Associate Editor for the Information Systems Research (ISR) journal and the INFOMRS Journal on Computing. She was a guest editor of the Special Issue on Utility-Based Data Mining in the Journal of Data Mining and Knowledge Discovery, and is a frequent Program Committee member in the premier machine learning and data mining conferences. At McCombs, Maytal has developed and teaches courses on business intelligence with data mining in the Executive MBA, full-time MBA, and the undergraduate business programmes. Maytal received her PhD from New York University’s Stern School of Business and obtained a B.S and M.S in Industrial Engineering from Ben Gurion University, Israel.