My research interests are at the intersection of machine learning and control. I am interested in how learning can be used to improve analysis and control of complex, nonlinear (and potentially unmodeled) systems, while maintaining theoretical guarantees of safety and stability.
December 2025: I am an organizer for the CDC 2025 Workshop on Data Driven Invariance.
June 2024: I gave an oral presentation ( 7.5% of reviewed papers) at L4DC 2024.
July 2022: I was accepted as a NSF Research Trainee in the Traineeship in the Advancement of Surgical Technologies (TAST).
June 2022: I was selected to be a Burroughs Wellcome Fund Fellow.