PhD student, Electrical and Computer Engineering
University of Michigan, Ann Arbor
Office: 4107 EECS
Email address: gchou [at] umich [dot] edu
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About me:

I am currently a fourth 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. My research is generously funded by a National Defense Science and Engineering Graduate (NDSEG) fellowship. I earned an M.S. in Electrical and Computer Engineering from the University of Michigan in 2019 and 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.

Research focus:

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.