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 online algorithms, mechanism design, and learning theory, and their implications for dynamic, multi-agent systems in various fields, ranging from energy and transportation to communication networks. For more details, see his research website: https://sodalab.ca.
If you are interested in working with Xiaoqi as an undergraduate, graduate, or postdoc, click here for more information.