Jun Liu

Jun Liu is a Professor and Canada Research Chair in Hybrid Systems and Control in the Department of Applied Mathematics at the University of Waterloo. He directs the Hybrid Systems Lab, focusing on control theory, robotics, and machine learning. His research integrates formal methods with data-driven techniques for nonlinear and stochastic systems.

Key areas include neural Lyapunov functions, Koopman operators, and reinforcement learning for safety-critical applications. He co-authored books on formal methods and model-based reinforcement learning. Editorial roles include Automatica and Systems & Control Letters.