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Xiaoqi Tan is an Assistant Professor in the Department of Computing Science at the University of Alberta. His research primarily focuses on Online Algorithms, Algorithmic Economics, Learning Theory, and decision-making under uncertainty. He studies how algorithms shape systems and networks, especially in relation to strategic behavior. He is actively involved in mentoring undergraduate and graduate students, encouraging highly motivated individuals to join his research group. Dr. Tan leads the SODALab, which provides a collaborative environment for exploring current themes and innovations in algorithm research. His commitment to research excellence is evident through his publications and the opportunities he creates for students to engage in cutting-edge projects.
University of Alberta • Edmonton, AB, Canada
Teaching and conducting research in Computing Science, focusing on algorithmic methods and their applications.
Department: Mechanical Engineering and Engineering Management