Sungkyu Jung (정성규)
Professor of Statistics
Seoul National University
Interested in statistical theory and methods for Non-Euclidean, High-Dimensional data analysis, and Data Privacy
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:
Recent News (More news)
2026-10-15. I will participate in the International Symposium on New Developments of Theories, Methodologies and Applications for Large Complex Data on Oct 21-23, hosted by Aoshima group at Tsukuba University, as a special invited speaker.
2026-10-14. I gave a talk for Young Il Colloquium at CM2LA, Postech.
2026-08-28. Jungmook, Gyubum and HyeonSeung are joining my lab as new students, and Yejin is now in the Statistics PhD program. Welcome!
Last updated: October 15, 2026