I'm excited about physics simulation and machine learning, and their potential for impact in robotics. My recent research leverages theory and practice from these fields to learn fast, data-efficient, and generalizable models for robotic manipulation.
I am a doctoral candidate in the MEAM department and the GRASP Lab at Penn. I work in the DAIR Laboratory, where I am advised by Prof. Michael Posa.
During my PhD, I also Interned in Applied Science for simulation at Amazon Robotics.
Previously, I was an Electrical Engineering undergraduate at UIUC, where my thesis was advised by Prof. Seth Hutchinson. I have also worked at Blue Origin, LinkedIn, and Riverbed.