Xiaoqi Tan

Assistant Professor
Department of Computing Science
University of Alberta

Office: Athabasca Hall 303
Email: xiaoqi.tan$\textsf{@}$ualberta.ca

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 Tan’s research focuses on developing algorithms for decision-making under uncertainty (course), with applications to systems and online platforms shaped by dynamics and strategic behavior. His current work centers on algorithm design problems that involve two key challenges: (i) the need to make sequential decisions before the full input is revealed (online algorithms), and (ii) the presence of private, unknown preferences among self-interested agents in resource allocation and systems/market design (algorithmic economics).

For more details about Xiaoqi’s research, see his SODALab page. For information on joining his lab as an undergraduate, graduate, or postdoc, see here.