I’m a robotics+ML researcher interested in generalizable, data-efficient robotic intelligence via compositional learned models. I want to unlock the potential for robots to make work safer, more efficient, and more impactful in essential industries such as agriculture, manufacturing, and logistics.
I’m currently on a gap year, where I’m taking the time to explore my interests at the Recurse Center while applying to PhD programs in CS. I graduated from UCLA with a B.S. in Electrical Engineering in June 2024 as a Regents Scholar. As an undergrad, I developed a learning-enabled motion primitive sampler for a long-horizon planner in the Verifiable & Control-Theoretic Robotics Laboratory under Professor Brett Lopez. I’ve recently been a controls engineering intern at Zipline and Blue Origin.
Over the pandemic, I wrote and published The Glitch (New Degree Press), which is available in paperback and e-book.
Papers that I’m excited about: