I am Co-founder of Guide Labs, where we are building
interpretable foundation models (LLMs, Diffusion Models, Classifiers) that can explain their reasoning and are easy to align, debug, and steer.
I got my PhD in Computer Science from MIT where I was
advised by
Hal Abelson, and supported
by Open Philanthropy.
In 2022-2023, I was a postdoctoral researcher at Prescient Design, where
I worked with Prof Kyunghyun Cho and Dr. Stephan Ra.
Before that, I was a brain resident at Google, and worked as a research engineer at Fast Forward Labs.
Previously, I got a Masters degree in Computer Science and Technology Policy from MIT. I did my undergrad in Mechanical Engieering at BYU.