PhD Student
Jake Levy is an Aerospace Engineering PhD student at the University of Texas at Austin, advised by David Fridovich-Keil. He is interested in developing algorithms for robotic systems which learn from past experiences to rapidly adapt to unmodeled dynamics and unseen environments. This includes research in machine learning (ML), reinforcement learning (RL), and adaptation techniques which will enable effective real-world performance where only uncertain dynamics models of the system and environment are available.
Prior to enrolling at UT, Jake worked for 10 years at Parker Aerospace as an Engineering Test Lab Manager and Test Engineer. He holds a M.S. in Aerospace Engineering from the University of Texas at Austin and a B.S. in Aerospace Engineering from the University of Texas at Arlington.