Associate Professor, Desautels Faculty of Management, McGill University
Other titles and affiliations
Yichuan Ding is currently an assistant professor in the Desautels Faculty of Management at McGill University. He obtained his bachelor degree from the Mixed Honored Class in Zhejiang University, China. He got his master degree from the Department of Combinatorics and Optimization in University of Waterloo, and his PhD degree from the Management Science & Engineering Department at Stanford University in 2012. He worked in the Sauder School of Business, University of British Columbia as an assistant professor from 2012 to 2019. His research interests include operations research methods, mainly optimization and stochastic modeling, as well as their applications in public sectors, including cadaver kidney exchange and allocation policies, affordable housing management, emergency department management, outpatient and surgical scheduling, U.S.-Canada border-crossing, etc. He has collaborated with many public agents, including public housing authority, hospitals, policy departments, and organ transplant organizations. He has published on top-tier academic journals including Operations Research, Mathematics of Operations Research, and Manufacturing & Service Operations Management.
On June 1st, 2022, Yichuan Daniel Ding has been promoted as Associate Professor from the Desautels Faculty of Management at McGill University.
Additionally, Xiaozhe Wang was promoted to Associate Professor in the Department of Electrical and Computer Engineering at McGill University.
Yichuan Daniel Ding – Associate Professor, Desautels Faculty of Management, McGill University
Alton Russell – Postdoctoral fellow, MGH Institute for Technology Assessment, Harvard Medical School
Prizes and awards
Desautels Faculty Scholar Award
Winner of the best paper competition in the category of statistical methods/econometric modeling4th annual Canadian Healthcare Optimization Workshop (CHOW)
Editorial Boards & Comittees
- Manufacturing & Service Operations Management, 2021-...
- Operations Research Letters, 2021-...
- Decision Sciences, 2020-...
- Special issue on "Big Data-Driven Analytics for Smart Cities: Technology-Based Insight", Industrial Management & Data Systems, 122(10), 2022