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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Dr. Ningyuan Chen is an Associate Professor at the Department of Management, University of Toronto, Mississauga, and the Rotman School of Management, University of Toronto. Previously, he held positions as an Assistant Professor at the Hong Kong University of Science and Technology and as a Postdoctoral Fellow at the Yale School of Management. He earned his Ph.D. in Industrial Engineering and Operations Research (IEOR) from Columbia University in 2015. His research focuses on machine learning and data-driven decision-making, with applications in dynamic pricing, revenue management, online retailing, and experimental design. His work has appeared in leading journals and proceedings such as Management Science, Operations Research, Annals of Statistics, and NeurIPS. His research is supported by the UGC of Hong Kong and the Discovery Grants Program of Canada. Dr. Chen is the recipient of the Roger Martin Award for Excellence in Research and the IMI Research Award. He also collaborates on projects with industry partners including BAM, Polymatiks, Alibaba, and Docutrax.

I am always open to working with motivated students with a technical background. Drop me an email if you are interested.

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

Best AE Award of INFORMS Journal on Data Science, 2025
IMI Research Grant, 2024
Roger Martin Award for Excellence in Research, 2022
IMI Research Award, 2022
Management Science Distinguished Service Award, 2020 - 2024
Operations Research Meritorous Service Award, 2024
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

Editorial Services

Associate Editor, INFORMS Journal on Data Science, 2025 - 2026
Senior Editor, INFORMS Journal on Data Science, 2026 - present
Associate Editor, Naval Research Logistics, 2025 - present
Associate Editor, Production and Operations Management, 2025 - present

Students I have supervised or collaborated with

Pin Gao, Assistant Professor at CUHK Shenzhen
Xiao Lei, Assistant Professor at HKU Business School
Zhuodong Tang, Assistant Professor at Antai@SJTU
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
Chaoyu Zhang, Assistant Professor at the City University of Hong Kong
Mengyan Zhu, Assistant Professor at the Southeast University
Craig Fernandes, Ph.D. candidate at MIE, University of Toronto
Chenhao Wang, Assistant Professor at Tongji University
Yi Xiong, Assistant Professor at Shanghai University of Finance and Economics
Zechao Li, Postdoctoral fellow at the London Business School
Huiling Meng, Ph.D. candidate at CUHK
Ziwei Wang, Ph.D. candidate at Peking University
Shaoyu Wang, Ph.D. candidate at CUHK Shenzhen
Guan Wang, Ph.D. candidate at Rotman School of Management
Yufeng Zheng, Ph.D. candidate at Rotman School of Management
Ziyuan Zhang, Ph.D. candidate at MIE, University of Toronto
Shaun Zhang, Ph.D. candidate at MIE, University of Toronto
Huanlin Mao, Ph.D. candidate at Statistics, University of Toronto