Zijun (June) Shi

I am an Assistant Professor at the HKUST Business School, an affiliated faculty at the HKUST Big Data Institute, and a core member of the AI Ethics and Governance Lab at HKUST. My research interest centers on the substantive theme of technology-driven marketing. Under this unifying theme, my research goal is to (1) utilize or adapt new technologies (e.g., AI) to enable marketing solutions and business analytics, and (2) examine the impact of new technologies on marketing strategies, consumer well-being, and social welfare. I employ the most appropriate methodology according to the nature of the research problem, including econometrics, machine learning, applied game theory, and experimental studies.

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My research has been published in Marketing Science, Journal of Marketing Research, Information Systems Research, and Transportation Research. I received the Paul E. Green Award for the best paper published in the Journal of Marketing Research. I also won the Don Lehmann Award for the best dissertation-based article published in the Journal of Marketing or Journal of Marketing Research. I have been recognized as the MSI Young Scholar in 2023.​​

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I received my Ph.D. in Industrial Administration and a M.S. in Machine Learning from Carnegie Mellon University. I hold a B.S. degree in Electrical Engineering from Shanghai Jiao Tong University.

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RA Hiring:  I hire full-time and part-time research assistants with solid skills or training in machine learning (preferably LLMs and computer vision), optimization, or psychology. Strong self-motivation is preferred. Interested candidates are welcome to email me a copy of your resume, transcript, and other relevant materials.​

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E-mail: juneshi@ust.hk 

Office: Room 4052, LSK Business Building, HKUST, Clear Water Bay.