Mingyang Liu

Mingyang Liu is a graduate student in electrical engineering and computer science, driving knowledge forward at the intersection of online learning, game theory, and optimization. His work addresses the challenge of designing learning algorithms for strategic interactions. As a MathWorks Fellow, Mingyang will develop scalable, theory-backed methods for computing equilibria in various settings, including repeated games and games with imperfect information. In one project, he will utilize MATLAB’s visualization tools to uncover the structural properties of utility functions, thereby gaining a better understanding. In another, he will use linear programming solvers to find solutions under various formulations, which validates the theoretical models and provides new insights into the properties of the equilibrium. Mingyang’s innovations could help reshape the way strategic AI systems are trained and deployed, with applications in large language models, economics, and large-scale autonomous systems.