I am a Postdoctoral Researcher in the Geometric Machine Learning Group at Harvard University, where I work with Melanie Weber. I recently received my PhD in Statistics from the University of Chicago, where I was advised by Victor Veitch.

Prior to my doctoral studies, I received a B.S. in Statistics and Mathematics from Seoul National University.

My research focuses on developing theoretical foundations for AI systems, with an emphasis on understanding the geometric and causal structure of representations of large language models.

Here is my CV.