Yao, Jesse Yunfei（姚雲飛）

Biography

Professor Jesse Yao is an Assistant Professor at the Chinese University of Hong Kong. He received a PhD in Business Administration from the University of California at Berkeley, a BS in Mathematics, and a BS in Statistics from the University of Michigan. His research interests include strategic considerations of AI/ML, privacy, search, and information economics. His research work has been published in Management Science and Marketing Science.

Teaching Areas

Digital Marketing

Research Interests

Competitive Strategy
Privacy
Search
Information Economics

• Publications & Working Papers

  Publications

  • G. Iyer, Y. Yao, and Z. Zhong (2025), “Algorithmic Targeting and the Precision-Recall Trade-off,” Marketing Science, forthcoming.
  • T. Bondi, O. Rafieian, and Y. Yao (2025), “Privacy and Polarization: An Inference-Based Framework,” Management Science, forthcoming.
  • Y. Yao (2025), “Reputation for Privacy,” Marketing Science, 44(5), 1145-1162.
  • Z. Ning, J. M. Villas-Boas, and Y. Yao (2025), “Search Fatigue, Choice Deferral, and Closure,” Marketing Science, 44(5), 1188-1211.
  • Y. Yao (2024), “Dynamic Persuasion and Strategic Search,” Management Science, 70(10), 6778–6803.
  • J. M. Villas-Boas and Y. Yao (2021), “A Dynamic Model of Optimal Retargeting,” Marketing Science, 40(3), 428–458

  Working Papers

  • W. Yang, Y. Yao, and P. Zhou, “Strategic Misinformation Generation and Detection,” minor revision at Management Science.
  • Y. Yao, “Invitation to Search or Purchase? Optimal Multi-attribute Advertising,” major revision at Management Science.
  • W. Chaimanowong and Y. Yao, “Non-stationary Pricing and Search,” working paper.
  • S. Mamadehussene, J. Wang, and Y. Yao, “A Consumer Search Explanation for Hidden Fees,” working paper.

• Awards & Honours
  • Journal of Industrial Economics Fellow, 2022
  • ISMS Doctoral Consortium Fellow, 2020-2021
  • AMA-Sheth Foundation Doctoral Consortium Fellow, 2020
  • Sasakawa Young Leadership Fellowship, 2018
  • Dean of the Graduate Division Award, 2017