Hi! My name is Junhyoung Chung.

I am currently a research intern at Krafton AI. I obtained my M.S. degree in Statistics from Seoul National University, advised by Professor Gunwoong Park. Previously, I obtained my B.S. degree in Statistics and B.A. degree in Economics from the same university.

My academic goal is to develop principled statistical methods that distill essential structures from imperfect and complex data. I aim to bridge the gap between theoretical rigor and practical applicability with the following objectives:

• Developing robust statistical frameworks resilient to data contamination.
• Uncovering latent structures and geometric alignment via optimal transport.
• Establishing theoretical guarantees for reliable machine learning systems.

My research initially focused on probabilistic graphical models, specifically designing consistent structure learning algorithms in the presence of measurement error. Recently, I have expanded my interest to optimal transport to robustly align non-Euclidean data structures. I have also carried out applied research introducing statistical models tailored to real-world problem solving.