Wang Guihua

Assistant Professor of Operation Management, Sydney Smith Hicks Faculty Fellow, Naveen Jindal School of Management, The University of Texas at Dallas

Guihua is an Assistant Professor of Operations Management and a Sydney Smith Hicks Faculty Fellow at the Naveen Jindal School of Management, The University of Texas at Dallas. He obtained his PhD from the University of Michigan, MSc from the Georgia Institute of Technology, MSc and BEng from the National University of Singapore. Prior to his PhD study, Guihua worked as a supervisor of the industrial engineering department at UPS Asia headquartered in Singapore.  Guihua’s research focuses on the intersection of empirical econometrics and machine learning with application to personalized healthcare. More specifically, Guihua has developed new empirical machine learning techniques such as instrumental variable forest and first-difference causal tree for heterogeneous treatment effect analysis using observational healthcare data.

Guihua’s research has been published at Management Science, Manufacturing & Service Operations Management, Production and Operations Management, Advances in Applied Probability, Surgery, and Annals of Thoracic Surgery, and received media coverage by Associate Press, Crain’s Detroit, Houston Chronicle, Medical Xpress, National Interest, NPR, PRI, Science Daily, Simply Flying, The Conversation, and Yahoo! News. His research was named a finalist of both the Pierskalla Best Paper Award and the MSOM Service Management SIG Best Paper Award, a runner-up of both the Financial Times Responsible Business Education Award and the INFORMS Service Science Best Cluster Paper Award, the winner of the INFORMS Health Applications Society Student Paper Competition, two-time finalists of the MSOM Student Paper Competition, and a finalist of the INFORMS Service Section Best Student Paper Competition.