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Name of Speaker |
Lu Jiaqi |
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Schedule |
13 Feb 2026, 10am – 11.30am (60 min talk + 30 min Q&A) |
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Venue |
BIZ1 0302 |
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Link to register (via Zoom) |
https://nus-sg.zoom.us/meeting/register/FGZiBt3mT9CHxWWr-w6t5Q |
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Title |
Bandit Allocational Instability |
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Abstract |
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About the Speaker |
Jiaqi Lu is 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. Her research aims at understanding when and how do agents’ colliding incentives and complex dynamics lead to market inefficiencies, and how to mitigate them. The types of applications usually involve matching platforms and supply chain. For example, recently, she studies bandit algorithms’ unintended side effect on downstream tasks, such as allocational instability in platform operations and sample bias in post-policy inference. Her papers typically appear in Journals including Management Science, Operations Research, Mathematics of Operations Research, and conferences such as ACM EC and WINE. Jiaqi Lu obtained her Ph.D. in the Decision, Risk, and Operations division at Columbia Business School, and her B.E. in Industrial Engineering, B.A. in English (double major) at Tsinghua University. |
