I build intelligent, deployable robotic systems. Currently, I'm an Applied Scientist at Amazon Robotics, where I develop and scale learning-based solutions for contact-rich manipulation. My work leverages reinforcement learning and imitation learning to solve complex bimanual manipulation challenges at Amazon's scale, bridging the gap between cutting-edge research and high-impact industrial applications.
My path here was a bit all over the map, in a good way. During my PhD at the University of Illinois, I spent a lot of time on sequential decision-making problems and applied reinforcement learning to everything I could find—from optimizing crop management systems to teaching rovers how to navigate extra-terrestrial terrains. That rover work naturally led me to sampling and manipulation tasks, which is where I really got into contact-rich physics problems—figuring out how to get robots to reliably grasp, move, and manipulate objects in uncertain environments. It's this combination of large-scale learning and contact-rich manipulation background that I bring to my work today.
As much as I hate to admit it, I struggled to keep this page up to date over the years. At some point, I decided to just nuke everything and keep it simple.I genuinely love chatting with people about literally anything—whether you need advice, want to collaborate, have some wisdom to share, or just feel like saying hi. Drop me a line at
[email protected] or find me on socials. I promise I'm way better at responding to emails than updating websites.