Robotics Researcher @ CMU
Hi! I'm a full-time masters student at Carnegie Mellon University working in the Momentum Lab with Professor Jeff Ichnowski. I'm applying to PhD programs in computer vision and robotics for Fall 2026, and I'm specifically excited about machine learning-enabled soft and articulated object manipulation, high-speed manipulation, and creative sensing. I was a research intern at DENSO, working on out-of-distribution 4D scene representations for autonomous vehicles.
My most recent work is Wiggle and Go, a system that enables a robot to swing ropes at 3D targets zero-shot: by observing a few seconds of rope motion, predicting physical parameters, and conditioning a goal-directed policy on them. In my undergrad, I was part of the SBPL Lab, advised by Professor Maxim Likhachev where I worked on machine learning for multi-agent path-finding.
From 2022 to 2025 I served as a TA, lead TA, and then course instructor, for 15-122 Principles of Imperative Computation. I built and ran the bootcamp series now used across the course — over 3,000 cumulative student attendances. Teaching matters to me and I hope to get to keep teaching as I continue my academic career!
Outside of research I love birdwatching, photography, biking, and badminton.
CoRL 2026 · First-author
A single mistake in a dynamic throw can be unrecoverable. We use a brief wiggle to identify rope dynamics, then perform goal-conditioned manipulation in one shot.
In progress
Upcoming first-author work with the Momentum Lab and BIG Lab at CMU. Reach out if you'd like to chat — get in touch →
RESEARCH THREAD
Robots in the loop for articulation discovery
A series on robots that close the loop on perception how to choose demonstrations and sensor sets that disambiguate joint structure rather than treating articulation as a passive perception problem.
Email me to discuss →Updates
