Professor of Statistics

Seoul National University

Interested in statistical theory and methods for Non-Euclidean, High-Dimensional data analysis, and Data Privacy

Publications Courses Lab

Brief Biography

I am a Professor of Statistics at the Seoul National University. Before I joined Seoul National University, I spent seven years at the University of Pittsburgh, after completing my PhD at the University of North Carolina at Chapel Hill.

Research interest lies in the theoretical study and applications of modern Statistics and Data Science in the analysis of data that lie on non-standard spaces. This context includes the high-dimension, low-sample-size (HDLSS) situation, non-Euclidean data analysis, the interplay between geometry and statistics, and data fusion. In particular, models and methodologies for dimension reduction, visualization of important variation and hypothesis testings need to be developed with special care for these modern data situations. Particular applications include analysis of directions, landmark-based and skeletally-modeled object shapes, data in stratified spaces or from multiple sources, and retrieving low-dimensional geometric structures in high-dimensional data. I am also interested in statistical issues in Data Privacy, including Differential Privacy and Synthetic Data Generation.

I have authored two books and coauthored one more, all in Korean: book art book art book art

Recent News (More news)

  • 2026-06-08. Two R packages for private data analysis are released. The dppca R package provides tools for differentially private PCA visualizations (available at CRAN) and is written by Yejin and Minwoo. The iLBA R package provides tools for the confidential dissemination of aggregated frequency tables from microdata (available at Github), and is written by Jeehyun and Dongsun.

  • 2026-05-13. We are hosting SNU–NCI Workshop on Statistical Innovation in Biomedical Researchon July 8, 2026 at SNU Campus. Invited speakers include Dr. Paul Albert and Dr. Sungduk Kim from NCI Biostatistics Branch, and Prof. Yei-Eun Shin at SNU.

  • 2026-03-04. Join us in Seoul in 2026, June 25th - 27th, for the SCoDA workshop on Statistics for Complex Data, a global forum bringing together researchers and practitioners to discuss methodologies and challenges in non-linear and geometric statistics, including shape analysis, topological data analysis (TDA), and high-dimensional, low-sample-size (HDLSS) settings. Prior to the workshop, a Complex Data School will be held from June 24th to 25th, offering focused training in shape and geometric statistics for Master’s and PhD students.

  • Last updated: June 09, 2026