Yichuan (Daniel) Ding

Assistant Professor, Health Analytics, Operations Management
Yichuan (Daniel) Ding
Contact Information
Email address: 
daniel.ding [at] mcgill.ca

Bronfman Building 523 [Map]
1001 rue Sherbrooke Ouest
Montreal, Quebec
H3A 1G5


PhD (2012), Stanford University, USA

MS (2007), University of Waterloo, Canada

BS (2005), Zhejiang University, China

Health Care
Operations Management
Building ID: 

Yichuan Ding's research interests include optimization, queueing, and statistics, as well as their applications in public sectors, including cadaver kidney exchange and allocation policies, affordable housing management, emergency department operations, outpatient and surgical scheduling, etc.


Healthcare Analytics, Operations Management


MGCR472 Operations Management (BCom)

INSY672 Health Analytics (MMA)

MGSC702 Stochastic System (PhD)

Curriculum vitae: 
Tenured & Tenure Track
Research areas: 
Big Data & Machine Learning
Health Care
Optimization Under Uncertainty
Selected publications: 

Ding Y., Gupta D., Tang X. (2021) Early Reservation for Follow-up Appointments in a Slotted-Service Queue, Operations Research, minor revision.

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, in press.

Ding Y., McCormick T., Nagarajan M. (2021) A Fluid Model for One-Sided Bipartite Matching Queues with Match-Dependent Rewards, Operations Research, in press.

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.

Awards, honours, and fellowships: 
  • 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.
  • 2012 Dantzig-Lieberman Fellowship, Stanford University
  • Honorable mention (top 4), 2010 student paper prize, by the COSP (Committee of Stochastic Programming) 

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