I’m a robotics researcher interested in generalizable, data-efficient
embodied intelligence via compositional learned models. My keywords are deep learning,
generative models, trajectory planning, and decision-making.
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 part of the Verifiable & Control-Theoretic Robotics Laboratory under Professor Brett Lopez, I
developed a motion primitive sampler using deep imitation learning to accelerate an online
long-horizon quadcopter planner.
I also built the drone model validation tool
at Zipline and root-caused
system instability in the a rocket engine at
Blue Origin.
email |
github |
linkedin |
cv |
my book
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