I work on fundamental questions in machine learning, often ones outside the usual framing.

About

I am an integrated M.S./Ph.D. student in the Department of Artificial Intelligence at Korea University, advised by Prof. Changhee Lee. I received my B.S. from Chung-Ang University, where I graduated as valedictorian.

I am more interested in fundamental questions than in incremental gains on a benchmark, and I like stepping outside the way a problem is usually posed. That has taken me across several areas: how a time series should be tokenized so one model can move freely between coarse trends and fine detail, how to explain what black-box language models and time-series classifiers rely on, and what it means for society when people become locked in to AI systems.