Ling Zhang

About

Prior to joining MSRA, I received my Ph.D. in 2024 from the University of Washington, advised by Prof. Baosen Zhang. My research focuses on learning-based optimization for power system operations under high renewable penetration and uncertainty. I develop methods that provide hard constraint satisfaction guarantees by embedding optimization structures directly into the learning process. At MSRA, I also explore the use of LLMs for large-scale combinatorial optimization (e.g., logistics) and develop training methods to better align them with downstream decision-making tasks.