Yichuan (Daniel) Ding
Desautels Faculty Scholar
PhD (2012), Stanford University, USA
MS (2007), University of Waterloo, Canada
BS (2005), Zhejiang University, China
Dr. Yichuan Ding is an Associate Professor at the Desautels Faculty of Management, McGill University, where he holds the title of Desautels Faculty Scholar and serves as the Academic Director of the Global Manufacturing and Supply Chain Management (GMSCM) Master's Program. He earned his Ph.D. in Management Science and Engineering from Stanford University in 2012. Dr. Ding's research focuses on applying operations research and Artificial Intelligence to enhance the efficiency and equity of healthcare delivery systems. His research has been published in leading journals such as Operations Research, Mathematics of Operations Research, Manufacturing & Service Operations Management (M&SOM), and Production and Operations Management (POM). His work has been recognized with several honors, including winning the 2023 POMS College of Healthcare Operations Management Best Paper Competition and being named a finalist for the 2019 Pierskalla Best Paper Competition and the 2017 INFORMS Behavioral Operations Management Best Working Paper Competition. Dr. Ding currently serves as an Associate Editor for M&SOM, Service Science, and Operations Research Letters. He co-chaired the 2023 INFORMS MSOM Conference in Montreal. Dr. Ding currently serves as the chair of INFORMS MSOM/Healthcare SIG and the Vice President/President-Elect of the CORS Health Care Operational Research SIG. He served as the President of the Canadian Operational Research Society (CORS) Queueing and Applied Probability SIG from 2022 to 2024.
Healthcare Management, Operations Management, Optimization, Stochastic Modeling
MGCR 372 Operations Management (BCom)
INSY672 Health Analytics (MMA)
MGSC702 Stochastic System (PhD)
*- my doctoral or postdoc students
Zhao, X.*, Ding, Y., Ge, D., Xie, X. (2024). "Early Birds versus Last-Minute Arrivals: Empirical Evidence and Theoretical Analysis of Arrival Time Queueing Game", Production and Operations Management, major revision.
Chen, Z., Ding, Y., Yang, L. (2024). “Multi-Listing for Horizontally Differentiated Services”, Operations Research, major revision.
Ding, Y., Gupta, D., & Zhou, S. (2024). “Early Reservation for Follow-up Appointments: Enhancing Patient Care Continuity”, Manufacturing and Service Operations Management, major Revision.
Cao, Y.*, Ding, Y., & Granot, D.(2024). “Tight Bounds for The Price of Fairness”, Operations Research, minor revision.
Ding, Y., Nagarajan, M., & Zhang, G. (2024). 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, minor 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)
