Biography of Xiaoqi Tan

Dr. Xiaoqi Tan is an Assistant Professor in the Department of Computing Science at the University of Alberta and a Fellow of Alberta Machine Intelligence Institute (Amii)–one of Canada’s three national AI institutes. 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.

Dr. Tan’s research focuses on algorithms and decision-making under uncertainty, especially online algorithms, economic aspects of algorithms, and their role in systems and networks shaped by dynamics and strategic behavior. He leads the System-driven Optimization & Decision Algorithms Lab (SODALab) at the University of Alberta. His work has been suppported by NSERC Discovery Grants, NSERC Alliance Grants, Alberta Machine Intelligence Institute (Amii) as part of the Pan-Canadian Artificial Intelligence Strategy, Alberta Innovates, and Alberta’s Major Innovation Fund.

Dr. Tan has served on the the program committees of multiple leading conferences, including ACM SIGMETRICS, WINE, and AAAI. He is also a frequent reviewer for major AI and theory conferences, such as NeurIPS, ICML, IJCAI, WWW, SODA, and RANDOM. In addition, he has reviewed for leading journals in AI, operations research, and IEEE/ACM, including Journal of Artificial Intelligence Research, Operations Research, Management Science, Performance Evaluation, and various IEEE/ACM Transactions. Dr. Tan has also contributed to national and international grant review processes, including those for MITACS, the Dutch Research Council (NWO), and the Hong Kong Research Grants Council (RGC).