I'm an undergraduate at Princeton studying electrical and computer engineering. I'm interested in data efficient world and robot behavior models, human and machine reasoning, and designing performance hardware and systems.
I'm currently researching efficient reasoning models advised by Professor Tri Dao. My research interests focus on hardware efficient and long context modelling, and intelligent spatial understanding. I also build in this space.
My friends and I started Tiger Tapeout to bring hardware culture to Princeton, we work on heterogeneous compute and design custom silicon, kernels, and compilers.
Previously, I worked on RL and test time training at Architect Labs, memory firmware and drivers at Kepler Computing, electron spin device physics at Cornell, custom software for award winning autonomous robots, and policy for sustainable datacenters.