Wei Qi is a tenured Associate Professor in the Department of Industrial Engineering at Tsinghua University, and an adjunct professor in operations management at the Desautels Faculty of Management at McGill University, where he was a tenured associate professor. He also served as Strategic Advisor of the China Energy Group, Energy Analysis, and Environmental Impacts Division at the Lawrence Berkeley National Laboratory. His research has contributed to smart-city operations concerning urban energy, mobility, retail logistics, and climate adaptation. In doing so, he employes and advances the methodologies of data-driven optimization, machine learning, queueing theory and location analysis, etc. He has lead research projects (mostly as the lead PI), sponsored by agencies including the National Natural Science Foundation of China (NSFC), the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Social Sciences and Humanities Research Council of Canada (SSHRC). His industry and municipality partners include JD.com, Amap, Meituan, and the Sustainable Mobility Agency of Montreal. The outcomes of his research have appeared in journals and proceedings including Operations Research, Management Science, Manufacturing & Service Operations Management, IEEE Transactions in Power Systems, and Neurips. Wei earned a Ph.D. from UC Berkeley, an M.S. from UCLA, and a B.E. from Zhejiang University, China.

Wei received academic awards including the INFORMS SOLA Chuck ReVelle Rising Star Award, the INFORMS ENRE Best Publication Award in Energy, the INFORMS ENRE Best Publication Award in Natural Resources (twice), and the INFORMS TSL Best Paper Award. Joint work with students received recognitions, such as (twice) being a finalist for the INFORMS Undergraduate Operations Research Prize. As a recognition of his efforts in teaching data analytics, he received the 2020 Distinguished Teaching Award from the Desautels Faculty of Management at McGill University.

For more updated information, please see Wei's:

Personal website

Google Scholar Profile

Website in Chinese

2022-present: Associate Professor, Department of Industrial Engineering, Tsinghua University.

2017-2022: Assistant Professor and (Tenured) Associate Professor in Operations Management at the Desautels Faculty of Management, McGill University.

2016-2022: Postdoc Fellow and Strategic Advisor, China Energy Group, Energy Analysis and Environmental Impacts Division at the Lawrence Berkeley National Laboratory.

PhD, IEOR, UC Berkeley.
MS, Process Systems Engineering, UCLA.
BS, Chu Kochen College and Automation, Zhejiang University.

Smart-city operations --- designing intelligent, sustainable, resilient, and human-centered urban systems by integrating operations research, artificial intelligence, and domain knowledge.

Methodologies: Data-driven optimization, stochastic modeling, machine learning, queueing theory, and location analysis.

Research domains:

    Urban logistics and supply chains (e.g., autonomous mobile stores, last-mile crowdshipping, online facility location)

    Climate-resilient cities (e.g., seawater intrusion prevention, planning against extreme rainfalls)

    Energy, mobility, and their citywide synergy (e.g., energy storage, battery swapping, shared autonomous electric vehicles）

    Sharing economy (e.g., vehicle sharing, energy omni-sharing)

Collaborations: JD.com, Meituan, Amap, Dongchedi (ByteDance’s automotive platform), the Sustainable Mobility Agency of Montreal, etc.

Prospective postdocs and PhD/master/undergraduate students who are interested in doing theoretical or applied research on operations research and/or AI are welcome to email me with your CV. Students that are self-motivated and with good academic record are preferred.