Ningyuan Chen
Associate Professor
Department of Management, University of Toronto Mississauga
(Rotman School of Management, University of Toronto)
Phone: +1-905-828-5218
Office: KN 205 (UTM) and 413 (Rotman)
Email: <ningyuan.chen”at”utoronto.ca>
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I am an associate professor of the Department of Management at the University of Toronto, Mississauga. I am also cross-appointed at the Rotman School of Management, University of Toronto. Before joining UofT, I was an assistant professor of IEDA@HKUST. I received my Ph.D. from the Industrial Engineering and Operations Research (IEOR) department at Columbia University in Oct 2015. In research, I am interested in various approaches to making data-driven decisions in the context of revenue management. My research is also broadly related to statistics. I have served as a guest associate editor for Naval Research Logistics, the program committee for WINE 2022, and the chair of the RMP cluster at INFORMS 2023. I enjoy working on real-world business problems and have been consulting for BAM, Polymatiks, and Alibaba.
In Fall 2023, we are accepting PhD applications for the MDOC program under the co-supervision of Prof. Linbo Wang and me. The student will go through rigorous training in both Statistics and Operations Research and focus the research on experimental design and causal inference in business applications such as online platforms. We welcome applicants with a strong mathematical/statistical background to apply through here. In the application, please indicate that you are interested in the MDOC program.
Education
Ph.D. in Operations Research, Columbia University, 2015
M.S. in Operations Research, Columbia University, 2012
B.S. in Mathematics, Peking University, 2010
Teaching
MGT201: Coding for Business
MGT270: Data Analytics for Management
RSM3049: Online Learning and Multi-armed Bandit
BTC2020: Decision Analytics in Business, Healthcare and Management
MGM301: Analysis for Decision and Control
IEDA 2540: Statistics for Engineers
IEDA 5270: Engineering Statistics
IEDA 4331: Quantitative Methods in Financial Engineering
IEDA 6100F: Dynamic Programming under Uncertainty
Grants and Awards
Roger Martin Award for Excellence in Research, 2022
IMI Research Award, 2022
Management Science Distinguished Service Award, 2020, 2021
NSERC Discovery Grant, Canada, 2020
RGC General Research Fund, Hong Kong, 2019
RGC Early Career Scheme, Hong Kong, 2017
INFORMS Financial Services Section Best Student Paper Competition, finalist, 2015
Students I have supervised or worked with
Pin Gao, Assistant Professor at CUHK Shenzhen
Xiao Lei, Assistant Professor at HKU Business School
Zhuodong Tang, postdoctoral fellow at Ross School of Business
Saman Lagzi, Assistant Professor at UNC Kenan-Flagler Business School
Setareh Farajollahzadeh, Assistant Professor at Desautels Faculty of Management, McGill University
Wenhao Li, Assistant Professor at Shanghai University of Finance and Economics
Jialin Li, postdoctoral fellow at Rotman
Craig Fernandes, Ph.D. candidate at MIE, University of Toronto