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Oklahoma State University

Leung, Ying Tat

Ph.D.

Adjunct Researcher

Industrial Engineering & Management
Oklahoma State University
322 Engineering North
Stillwater, Oklahoma 74078-5016 USA
Phone: (405) 744-6055
E-mail: @okstate.edu

Areas of Interest

  • Marketing Analytics
  • Empirical Models, now called data science
  • Service design and operations
  • Indusutrial applications of analytical methods

In his day job, Ying Tat is a Principal Data Scientist in the Watson Customer Engagement division of IBM, located in Foster City, California, since early 2014.  This division focuses on software solutions in marketing, commerce, and supply chain.  Ying Tat plays the role of a solution architect, primarily for marketing solutions, leading the design of data-driven, analytics-oriented functionalities and the development of computing algorithms to support the design.  Prior to that, he was a Principal Research Staff Member at the IBM Almaden Research Center in San Jose.  He worked in modeling and analysis of production and service systems for the purposes of business strategy formulation, performance management, and resource optimization.  With colleagues in IBM Global Business Services, he also served as a technical consultant to IBM clients.  Before moving to Almaden in 2004, he worked in supply chain management research, including product pricing, demand planning, inventory replenishment, and production planning, at the IBM Thomas J. Watson Research Center and Philips Laboratories in New York, for 15 years. 

 

In 2012, with coauthors Axel Hochstein and Matt Denesuk, he won the Best Paper award at the IEEE International Conference on Service Operations and Logistics, and Informatics.  In 2008, with co-authors Jesse Bockstedt and Wolfgang Koenig he won the Best Practitioner Presentation Award at the Frontiers in Service Conference.  He is currently on the editorial board of Service Science and International Journal of Service Operations and Informatics.  Ying Tat holds a B.Sc. degree from University of Hong Kong, M.S. and Ph.D. degrees from University of Wisconsin – Madison, all in Industrial Engineering.