Declan Chan

I’m an undergraduate student in Engineering Science at the University of Toronto. I build software for machine learning, robotics, and autonomous systems.

As a research fellow with the AutoDIAL lab, I investigated the robustness of machine learning force fields, benchmarked predictions against density functional theory, and ran large-scale experiments on high-performance computing clusters using PyTorch, Bash, and Slurm. With Robotics for Space Exploration (RSX), I’m developing ROS 2 imitation-learning systems for autonomous robotic manipulation, building joint-state data pipelines and evaluating transformer-based policies for equipment servicing. At the University of Toronto Aerospace Team (UTAT), I developed Python tools to simulate CubeSat attitude dynamics and test spacecraft control algorithms.