I am a first-year Ph.D. student in the Department of Statistics at UC Davis. Before coming here, I received my M.S. in Statistics at Seoul National University, advised by Prof. Gunwoong Park, and my B.S. in Statistics and B.A. in Economics from the same university.

I develop principled statistical methods that uncover essential structure in imperfect and complex data. My research connects optimal transport, graphical models, and robust statistical learning, with an emphasis on theoretical guarantees and practical applicability.

Research interests

More about my research

Optimal transport

Geometry-aware methods for aligning heterogeneous data and non-Euclidean structures.

Graphical models

Reliable structure learning under measurement error and data contamination.

Statistical learning

Interpretable models for spatial risk, ranked data, and real-world problems.

Posters, seminar slides, and other documents, collected in one place.

News

  • I completed my role at Seoul National University and arrived in Davis!
  • I completed my research internship at Krafton AI and joined Seoul National University as an external researcher.
  • I will be joining UC Davis as an incoming Ph.D. student in Statistics.
  • Our paper Convex distance operator transport has been accepted to ICML 2026.
  • I started as a research intern at Krafton AI.
  • I received my M.S. in Statistics from Seoul National University.
  • I will be attending NeurIPS 2025.