Email: t.chaipat AT columbia.edu
I am a senior at Columbia University, studying astrophysics (and mathematical probability). Recently, I have been thinking a lot about interpretability, representation learning, and agentic systems for science.
I have used tools from statistics and physics to build robust, trustworthy ML systems for scientists. My work with the Learning the Universe collaboration focuses on developing a robust parameter-sampling algorithm and a degeneracy detection framework for simulation-based inference.
Aside from research, I have a Substack where I write about AI, philosophy, and the anthropology of progress.
