Declan Chan

I’m currently an undergraduate student in Engineering Science at the University of Toronto.

I’m interested in building reliable computational tools for scientific discovery and engineering systems. My work spans robotics, machine learning, aerospace, and materials science, with a focus on translating theoretical concepts into testable software.

As a research fellow with the AutoDIAL lab, I studied the robustness of machine learning force fields, benchmarked predictions against density functional theory, and ran large-scale experiments on high-performance computing clusters. With UTAT, I developed attitude determination and control software for CubeSats, including Python simulations of spacecraft dynamics. Beyond research, I worked with RSX on software, ROS, and mechanical design.