Hi, I'm Brian. I'm a roboticist who wants to make robots do useful work in the real world. I'm especially interested in leveraging optimization, control theory, and machine learning to allow robots to operate in challenging environments. My current research focuses on designing efficient, robust perception and control algorithms for dynamic bipedal walking over rough terrain, and successfully deploying these algorithms on hardware.

I'm a PhD student in the DAIR Lab at the University of Pennsylvania, where I'm advised by Michael Posa and supported by the NSF GRFP.

During my Ph.D. I worked as a systems analyst intern at Intuitive Surgical. Before coming to Penn, I received my Bachelor’s degree in Mechanical Engineering from Purdue, and worked as a controls engineering intern at John Deere.