I am a PhD student in Systems Design Engineering. I completed my BASc in Electrical Engineering, Mechatronics Option, with a minor in Computer Science at the University of British Columbia in 2023. My research began with the goal of developing control theory techniques derived from neural architectures to address challenges in robustness and power efficiency. I then shifted my focus to Model Predictive Control (MPC), particularly in applications for autonomous vehicles. Currently, I am collaborating with Mercedes-Benz to develop a fully neuromorphic, end-to-end self-driving vehicle control pipeline.
Publications
Conference and Workshop Papers
- (2026) Fully Spiking Linear Quadratic Regulator Control via a Neuromorphic Solver for the Continuous Algebraic Riccati Equation. In 2026 Neuro Inspired Computational Elements Conference (NICE). Accepted, to appear. Abstract
- (2025) Biologically-Inspired Representations for Adaptive Control with Spatial Semantic Pointers. In 2025 Neuro Inspired Computational Elements Conference (NICE), 1-10. Abstract PDF
- (2025) Model Predictive Control in the Legendre Domain. In Proceedings of the 2025 American Control Conference (ACC), 97-102. Abstract PDF