Xiang Liu’s primary research interests lie in the applications of operations research to health care management. His research focuses on developing dynamic programming and delay-time analysis models to optimize health outcomes for surgical patients through better discharge and post-discharge management. In his research work, he utilizes real-world clinical data from large scale insurance claim databases and is also interested in developing algorithms and heuristics for model implementation. His recent work on reducing hospital readmissions for cystectomy patients was featured with an editorial comment in the Journal of Urology. This work was also featured in the Renal and Urology News. Besides readmission management, he is also interested in chronic disease management and healthcare workforce management.
In addition, Xiang has served as the sole instructor of IOE 202 Operations Modeling (undergraduate core) and as the graduate student instructor (teaching assistant) of IOE 419 Service Operations Management. Over the course of his career, he has mentored and taught over 300 undergraduate and graduate students.
Advisor: Dr. Mariel S. Lavieri
Availability: May 2019
Position Sought: academic, research, industry