PhD student, Electrical and Computer Engineering
University of Michigan, Ann Arbor
Office: 4401 EECS
Email address: gchou [at] umich [dot] edu
I am currently a second year PhD student in the Electrical Engineering and Computer Science department at the University of Michigan, Ann Arbor, where I am advised by Necmiye Ozay and Dmitry Berenson. I earned dual B.S. degrees in Electrical Engineering and Computer Science and Mechanical Engineering from the University of California, Berkeley in 2017, where I worked with Claire Tomlin and Anca Dragan.
My research interests lie broadly at the intersection of control, motion planning, and machine learning, with a particular drive towards developing algorithms that can enable autonomous, data-driven systems to act safely and efficiently in the face of uncertainty. To this end, the methods I develop draw from and contribute to the areas of (inverse) optimal control, sampling-based motion planning, formal methods, and system identification.