Department of Computing Science
University of Alberta
Office: Athabasca Hall 303
Bio | Google Scholar
Xiaoqi Tan is an Assistant Professor of Computing Science at the University of Alberta and a Fellow of Alberta Machine Intelligence Institute (Amii). Prior to July 2021, he was a Postdoctoral Fellow at the University of Toronto. He received his Ph.D. from HKUST in 2018. During his Ph.D., he was also a visiting research fellow at the School of Engineering and Applied Science, Harvard University.
Xiaoqi’s research interests span various topics in optimization and decision-making under uncertainty, with a particular focus on the theory of online optimization and its implications for problems at the interface of multi-agent systems, economics and computation (e.g., incentives, auctions and mechanism design; algorithmic game theory; resource allocation). For more details, see his research website: https://sodalab.ca.
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