Samuel Chevalier

Samuel Chevalier is an Assistant Professor in the Department of Electrical and Biomedical Engineering at the University of Vermont, part of the College of Engineering and Mathematical Sciences. A 6th generation Vermonter, he returned to his alma mater after completing his PhD at MIT and a postdoctoral fellowship at the Technical University of Denmark.

Dr. Chevalier's research focuses on three primary areas:

• Designing industry-relevant optimization and control strategies for renewable-based power grids
• Building trustworthy machine learning tools for safety-critical engineering applications
• Developing advanced data-driven modeling techniques for the power and energy sectors

His publication record demonstrates a strong interdisciplinary approach bridging power systems engineering and machine learning, with recent work spanning GPU-accelerated optimization, neural network verification for power systems, and novel approaches to renewable energy integration. His research addresses critical challenges in modern power grid operations as systems transition toward higher renewable penetration.

Dr. Chevalier has received notable recognition including a prestigious Marie Skłodowska-Curie Postdoctoral Fellowship. He teaches EE5310 - Power System Analysis and in fall 2023 launched the Grid Verification Lab at UVM, where he is recruiting PhD students to work on network compression, machine learning verification, and distributed energy resource dynamics.