Machine Learning × Embodied AI × Robot Learning
Carnegie Mellon University · Robotics Institute
I turn ambitious research ideas into reliable systems that people use. My interests span robotics, long-horizon reasoning, and 3D computer vision, with a focus on robot learning and foundation models. I'm currently working on reinforcement learning for post-training manipulation policies.
Outside of robotics, I follow active research in long-horizon evaluation of AI agents and in mechanistic interpretability grounded in cognitive science.
I'm based in San Francisco and always happy to connect - to collaborate on anything AI, trade notes on physical AI, or talk about grad school.
- Reinforcement learning for post-training foundation models
- World modelling for open-vocabulary robotic manipulation
- Long-horizon reasoning and agents
- Peer-reviewed research in ML and applied AI; active IEEE reviewer