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.