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 online algorithms, algorithmic game theory, mechanism design, and sequential decision and learning theory. The main theme of his research is to develop algorithms/markets with provable guarantees to optimize decision-making in dynamic, uncertain, and possibly strategic environments, using mathematical tools from computer science, economics, statistics, and control. See his SODALab page for more information.
For information on working with Xiaoqi as an undergraduate, graduate, or postdoc, see here.