Scholar
Jiaqi Lu
Google Scholar ID: meTZPLgAAAAJ
School of Data Science, CUHK-SZ
Citations & Impact
Citations
29
H-index
3
i10-index
1
Publications
7
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Giving a talk 'The Cost of Algorithmic Instability' at INFORMS 2025; paper 'A Characterization of Sample Adaptivity in UCB Data' is available online; serving as a co-chair of the Auctions and Market Design (AMD) cluster at INFORMS 2025.
Research Experience
- Research typically uses stochastic modeling, optimization, game theory, statistical physics, etc. The types of applications usually involve matching platforms and supply chain. Recently, studying adaptive learning algorithms' unintended side effect on downstream tasks, such as allocational instability in platform operations and sample bias in post-policy inference.
Education
- Obtained Ph.D. in the Decision, Risk, and Operations division at Columbia Business School.
Background
- An assistant professor in the School of Data Science and the School of Management and Economics (joint appointment) at the Chinese University of Hong Kong (Shenzhen) since June 2021. Interested in understanding when and how agents' colliding incentives and complex dynamics lead to market inefficiencies, and how to mitigate them.
Miscellany
- Prospective Ph.D. students with a solid mathematics or engineering background are highly welcome.
Co-authors