Seokhun Park

I am a Ph.D. candidate in the Department of Statistics at Seoul National University (SNU). My research interests are Interpretable AI, Functional ANOVA model, Bayesian machine learning and Bayesian nonparametric asymptotics.

Recently, my research has focused on bridging statistical rigor with modern deep learning architectures. I am particularly interested in the interpretability of Vision Transformers (ViT) and developing Concept Bottleneck Models (CBM) to create more transparent and trustworthy AI systems.  

• Education

03/2020 - Present : Ph.D candidate in Statistics, Seoul National University (Advisor : Prof. Yongdai Kim) 

03/2013 - 09/2019: B.S. in Applied Mathematics, Kyung Hee University