Biography

Hi! I am a first-year PhD student at the Robotics Institute, Carnegie Mellon University, advised by Prof. Andrea Bajcsy.

My research broadly asks what enables learned robot systems to generalize beyond their training experience. I am particularly interested in understanding the structure learned by robot learning systems, how that structure shapes behavior in new situations, and how we can use these insights to build more adaptive and reliable agents.

Previously, I completed my MS in Robotics at CMU, advised by Prof. Zackory Erickson and Prof. David Held. During my master’s, I studied how the failure modes of learned robot policies expose their geometric generalization limits, and how targeted experience at those failures can improve robustness. Before CMU, I worked on text-to-video generation at Adobe and Rephrase.ai, and was a research assistant with Prof. Angel Chang at SFU.

I’m always happy to chat about research ideas, unexpected connections, or potential collaborations. If any of this overlaps with what you’re thinking about, feel free to email me!