Hi! My name is Junhyoung Chung.

I am currently pursuing a master's degree in Statistics at Seoul National University under the supervision of Professor Gunwoong Park. Previously, I obtained my bachelor'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, working on Fused Operator Optimal Transport (FOOT) to robustly align non-Euclidean data structures. I have also carried out applied research introducing statistical models tailored to real-world problem solving.