Xiaoqi Tan, PhD

Assistant Professor, Faculty of Science - Computing Science


Assistant Professor, Faculty of Science - Computing Science
3-03 Athabasca Hall
9119 116 St NW
Edmonton AB
T6G 2E8


Area of Study / Keywords

optimization decision-making under uncertainty online algorithms mechanism design economics & computation artificial intelligence


Xiaoqi Tan’s research focuses on optimization and decision-making under uncertainty, using tools and insights from computer science, economics, and operations research. On the practical side, Xiaoqi is also interested in developing new algorithmic and computational tools to address societal challenges across various fields, including energy grids and markets, shared mobility, Internet advertising, cloud computing, network optimization, and beyond.

For more details about Xiaoqi’s research, or if you are interested in joining his lab as an undergraduate, graduate, or postdoc, see his SODALab page: https://sodalab.ca.


The SODALab@UofA is constantly looking for highly motivated graduate students at both the MSc and PhD level. If you are already at UofA and want to join us, feel free to email your CV to Xiaoqi. For prospective students who are not currently enrolled at UofA, read Xiaoqi's Letter to Prospective Students first before reaching out.