He holds a secondary appointment in the School of Electrical and Computer Engineering at Georgia Tech and is Visiting Faculty at Nvidia Research. He received his M.S. and Ph.D. in Machine Learning from Carnegie Mellon University and was a postdoctoral scholar in Computer Science and Engineering at the University of Washington. Byron directs the Georgia Tech Robot Learning Lab, affiliated with the Center for Machine Learning and the Institute for Robotics and Intelligent Machines. His lab conducts research on theory and systems that tightly integrate perception, learning, and control. He has received several awards including Best Paper at ICML, Best Paper at AISTATS, Best Paper Finalist at ICRA, Best Systems Paper Finalist at RSS, and the NSF CAREER award.