Jialin Li 李嘉麟

I am a second-year Ph.D. student affiliated with the MechSE Department at University of Illinois Urbana-Champaign, advised by Prof. Naira Hovakimyan.

I received my M.S. degree in Robotics, Systems, and Control with distinction from ETH Zurich in 2024, where I finished my master's thesis on Time-Varying Safe Bayesian Optimization at the Automatic Control Laboratory, advised by Prof. Dr. John Lygeros. Before that, I obtained my B.S. degree in Theoretical and Applied Mechanics with summa cum laude from University of Science and Technology of China in 2021.

I interned at Bosch Center for Artificial Intelligence (BCAI) in Renningen, Germany in 2024.

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Research

My research focuses on designing, analyzing, and evaluating sequential decision-making algorithms that enable dynamical systems to leverage generative models for robust planning and continuously learn from actively acquired experiences in a safe and scalable manner, with the goal of advancing autonomous driving and generalist robots.

Publications

Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
Jialin Li, Marta Zagorowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros
NeurIPS 2024

Academic Service

Teaching

Based on this website.