Yichuan (Daniel) Ding
Desautels Scholar
Academic Director of Global Manufacturing and Supply Chain Management (GMSCM) Program
PhD (2012), Stanford University, USA
MS (2007), University of Waterloo, Canada
BS (2005), Zhejiang University, China
Dr. Yichuan Ding is currently an associate professor in the Desautels Faculty of Management, McGill University. He has been honored as the Desautels Faculty Scholar. Dr. Ding currently serves as the director of the Global Manufacturing and Supply Chain Management Program in the faculty. Dr. Ding obtained his PhD in management science and engineering from Stanford University. His research interests include optimization, queueing, and data analytics, as well as their applications in healthcare delivery systems, including emergency department operations, outpatient care, operation rooms, intensive care unit, and organ transplant. He has published on top-tier academic journals including operations research, mathematics of operations research, manufacturing and service operations management, and production and operations management. Dr. Ding was the winner of the 2023 POMS College of health care operations management best paper competition, the finalist of the 2019 Pierskalla Best Paper Competition, and the finalist of the 2017 INFORMS behavioural operations management best working paper competition. He currently serves as the associate editor for Manufacturing and Service Operations Management (M&SOM), Decision Sciences, and Operations Research Letters.
Healthcare Management, Operations Management, Optimization, Stochastic Modeling
MGCR 372 Operations Management (BCom)
INSY672 Health Analytics (MMA)
MGSC702 Stochastic System (PhD)
*- my phd or postdoc students
Ding, Y., Gupta D., & Zhou S. (2023). “Early Reservation for Follow-up Appointments: Enhancing Patient Care Continuity”, submitted.
Cao, Y.*, Ding, Y., & Granot D.(2023). “Tight Bounds for The Price of Fairness”, submitted.
Ding, Y., Nagarajan, M., & Zhang, G. (2022). Parallel queues with discrete-choice arrival pattern: Empirical evidence and asymptotic characterization. Operations Research, Major Revision.
Jin, Y.*, Ding, Y., Shechter, S., & Arneja, J. S. (2022). Adaptive Server Behavior to Schedule Deviations and Its Consequences: Evidence from Operating Rooms, Manufacturing and Service Operations Management, Major Revision.
Jin, Y.*, Duan, Y., Ding, Y., Nagarajan, M., & Hunte, G. (2020). The Cost of Task Switching: Evidence from Emergency Departments. Manufacturing and Service Operations Management, Rejected and Resubmitted.
Ding Y., Gupta D., Tang X.* (2022) Early Reservation for Follow-up Appointments in a Slotted-Service Queue, Operations Research 71, no. 3 (2023): 917-938.
Zhou S.*, Ding Y., Huh T., Wan G. (2021). Constant Job-Allowance Policies for Appointment Scheduling: Performance Bounds and Numerical Analysis, Production and Operations Management, no. 7 (2021): 2211-2231.
Ding Y., McCormick T., Nagarajan M. (2021) A Fluid Model for One-Sided Bipartite Matching Queues with Match-Dependent Rewards, Operations Research 69, no. 4 (2021): 1256-1281.
Ata B., Ding Y., Zenios S. “An Achievable-Region-Based Approach for Kidney Allocation Policy Design with Endogenous Patient Choice”, Manufacturing & Service Operations Management, 23, no. 1 (2021): 36-54.
Ding Y., Park E.*, Nagarajan M., & Grafstein E. “Patient Prioritization in Emergency Department Triage Systems: An Empirical Study of Canadian Triage and Acuity Scale (CTAS)”, Manufacturing & Service Operations Management, 21, no. 4 (2019): 723-741.
Ding Y., Ge D, He S, & Ryan C. “A Non-Asymptotic Approach to Analyzing Kidney Exchange Graphs”, Operations Research, 66, no. 4 (2018): 918-935.
Agrawal, S., Ding, Y., Saberi, A., & Ye, Y. “Price of correlations in stochastic optimization”, Operations Research, 60, no. 1 (2012): 150-162.
Ding Y., Ge D., & Wolkowicz H. “On Equivalence of Semidefinite Relaxations for Quadratic Matrix Programming”, Mathematics of Operations Research, 36, no. 1 (2011): 88-104.
Ding Y., Wolkowicz H. “A Low-Dimensional Semidefinite Relaxation for the Quadratic Assignment Problem”, Mathematics of Operations Research, 34, no. 4 (2009): 1008-1022.
- Winner, 2023 Production and Operations Management Society (POMS) Best Healthcare Paper Competition
- Winner, 4th annual Canadian Healthcare Optimization Workshop (CHOW) 2021 Best Paper Competition in the category of statistical methods/econometric modeling.
- Finalist (top 4), 2019 Pierskalla Best Paper Prize, INFORMS Healthcare Society.
- Honorable Mention (top 3), Best Working Paper Competition, 2017 Behavioral Operations Management Section.
- Honorable mention (top 4), 2010 student paper prize, by the COSP (Committee of Stochastic Programming)
