Yichuan (Daniel) Ding
PhD (2012), Stanford University, USA
MS (2007), University of Waterloo, Canada
BS (2005), Zhejiang University, China
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)
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.
• Finalist, 2019 Pierskalla Best Paper Prize, INFORMS Healthcare Society.
• Honorable mention, Best Working Paper Award, 2017 Behavioral Operations Management Section.
• Honorable mention, 2010 student paper prize, by the COSP (Committee of Stochastic Programming)
• 2012 Dantzig-Lieberman Fellowship, Stanford University
