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 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.