Xiaoqi Tan, PhD

Area of Study / Keywords

Online Algorithms Machine Learning Algorithmic Economics Optimization Decision-Making under Uncertainty

Research

Algorithms for decision-making under uncertainty, particularly online algorithms, learning under different forms of information, and algorithmic economics, as well as their broader connections to systems involving dynamics and strategic agents.

I am always looking for highly motivated students at all levels (undergraduate and graduate). Below are some useful links to learn more about my research:

• SODALab @UofA page — contains up-to-date information about my research group, including our latest publications, member highlights, and details on how to join depending on your current status.
• Letter to Prospective Students — outlines my core values in research and mentoring, as well as guidelines on how best to reach out. If you decide to email me, please review this letter first.
• CMPUT 676 course page — provides an overview of the research themes that align closely with the ongoing work in my group. Interested students may find it helpful to review the page; the course was most recently offered in Fall 2024.

If you’re already at UofA: My group meets weekly at the SODALab Seminar, which is open to anyone interested in attending. Click here to view our past and upcoming schedules.

• Xiaoqi Tan's Personal Website
• Xiaoqi Tan's Research Group: SODALab @UofA
• Xiaoqi Tan’s Google Scholar