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Maytal Saar-Tsechansky

Maytal Saar-Tsechansky

Associate Professor, Information, Risk, and Operations Management, McCombs School of Business

  • Ph.D., Leonard N. Stern School of Business, New York University, 2002
  • MS, Ben-Gurion University, Israel, 1997
  • BS, Ben-Gurion University, Israel, 1994

Dr. 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 was recently a Visiting Faculty at the Judge Business School at the University of Cambridge.

Maytal’s research interests include machine learning and data mining methods for data-driven intelligence and decision making. Her work addresses challenges that arise when of data-driven learning is used to inform decisions. Her contributions in these areas have been published in the Journal of Finance, Management Science, Information Systems Research, Journal of Machine Learning Research, and Machine Learning Journal, among other venues.

Maytal serves on the editorial board of the Machine Learning Journal and is an Associate Editor the INFOMRS Journal on Computing. She is also a frequent Program Committee member in the premier machine learning and data mining conferences. At McCombs, Maytal has developed and teaches courses on business data analytics in the Executive MBA, full-time MBA, and the undergraduate business programs.

Scheduled Classes

11/07/18 - 11/08/18


Rowling Hall W 20th St Austin, TX 78705

Maytal Saar-Tsechansky