2025 Korea Statistician of the Year; Participated as a panelist in the Global Privacy Assembly 2025, discussing Korea's efforts in synthetic data generation and utilization; Published a video clip explaining Frechet means on curved spaces and their genericity property.
Research Experience
Research projects include non-Euclidean data analysis, high-dimensional data processing, the interplay between geometry and statistics, and data fusion. Special focus on developing methods for dimension reduction, visualization of important variation, and hypothesis testing.
Education
PhD from the University of North Carolina at Chapel Hill; Worked for seven years at the University of Pittsburgh; Currently, Professor of Statistics at Seoul National University
Background
Research interests: Non-Euclidean, High-Dimensional data analysis, and Data Privacy; Professional field: Statistics; Brief: Professor of Statistics at Seoul National University, focusing on the theoretical study and applications of modern Statistics and Data Science in the analysis of data that lie on non-standard spaces, especially in the high-dimension, low-sample-size (HDLSS) situation.
Miscellany
Authored two books and coauthored one more, all in Korean.