Xiaoyan Li

Xiaoyan Li is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Lethbridge. Her research focuses on mathematical and computational modeling of complex dynamical systems, with applications spanning public health, artificial intelligence, and data-driven decision making. She works on system dynamics, agent-based modeling, discrete event systems, and applied category theory, as well as Bayesian machine learning methods for inference and prediction. A central theme of her work is the development of interpretable, mathematically grounded models that can inform real-world public health policy and decision processes. Her research is inherently interdisciplinary, combining theoretical foundations with applied modeling, and involves active international collaborations with mathematicians, engineers, and public health researchers in Canada, the United States, and the United Kingdom. She leads projects that offer students opportunities to publish in both theoretical and applied venues and to participate in international conferences and collaborations.