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Guihua is an Assistant Professor of Operations Management and a Sydney Smith Hicks Faculty Fellow at the Naveen Jindal School of Management, University of Texas at Dallas. He obtained his PhD (advisors: Wallace J. Hopp, Jun Li) 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 the instrumental variable forest, the first-difference causal tree, and the multi-treatment forest for heterogeneous treatment effect analysis using observational healthcare data.

Professor Wang has published 15 peer-reviewed articles in Management Science, Manufacturing & Service Operations Management, Production and Operations Management, Advances in Applied Probability, Transportation Research Part C, Surgery, Annals of Thoracic Surgery, Management and Business Review, and International Journal of Logistics Systems and Management. His research has been covered by many media outlets, which include Associated Press, Austin' NPR Station - KUT, Crain's Detroit, Fredericksburg Free Lance-Star, Go Dan River, Hickory Daily Record, Houston Chronicle, INFORMS Newsroom, JSOM Management Magazine, KULR 8, Lynchburg News and Advance, McDowell News, Medical Xpress, Medium, Michigan News, Montana Standard, National Affair, National Interest, North Platte, Opelika-Auburn News, Patch, Public Radio International, Quad-Cities Online, Roanoke Times,  Science Daily, Simply Flying, Statesville Record & Landmark, Texas McCombs, The Conversation, UTD News Center, Yahoo! News. Notably, his research on organ transplants was named a runner-up for the Responsible Business Education Award by the Financial Times.

Professor Wang's research has received many recognition awards, which include the winner of the Chelliah Sriskandarajah Early Career Research Accomplishments Award, the winner of the Conference on Health IT and Analytics (CHITA) Best Paper Award, the winner (twice) of the INFORMS Health Applications Society Student Paper Competition, a runner-up of the INFORMS Service Section Best Cluster Paper Competition, a runner-up of the POMS College of Healthcare Operations Management Best Paper Award, a runner-up of the POMS College of Service Operations Management Best Student Paper Award, a finalist of the INFORMS Health Applications Society Pierskalla Best Paper Award, a finalist of the INFORMS Service Science Best Cluster Paper Award Competition, a finalist (three times) of the INFORMS Service Science Best Student Paper Award Competition, a finalist of the MSOM Service Management SIG Best Paper Award, a finalist (twice) of the MSOM Student Paper Competition, and a finalist of the POMS College of Operational Excellence Junior Scholar Best Paper Competition.