MIT CSAIL · Improbable AI Lab
I am a Master of Engineering student at MIT and a researcher in the Improbable AI Lab.
I graduated from MIT with an undergraduate degree in computer science and mathematics. I am broadly interested in robot learning and in building embodied systems that move capably in the physical world.
At MIT's Improbable AI Lab, I study learning-based approaches to locomotion and agile tasks. I am especially interested in sim2real transfer for complex tasks and retargeting motion across different embodiments.
Conference on Robot Learning (CoRL), 2025
An intuitive VR data-collection interface for imitation learning that produces visual policies from synthetic data, generalizes to real-world scenes, and increases data-collection capacity by 20×.
Present
Master of Engineering
Graduate researcher, Improbable AI Lab
2026
Undergraduate degree in Computer Science and Mathematics
2025–Present
Research in robotics and embodied intelligence
Developing simulation, learning, and evaluation systems for policies that transfer to real robots.
Summer 2024
Software Engineering Intern
Built data-infrastructure tooling and a one-click sandbox for deploying an internal system with Microsoft Azure services.
I played center back for MIT's soccer team and grew up in Jackson, Wyoming. Outside the lab, I enjoy exploring new places, hiking, running, reading, and learning guitar.
