I am an Associate 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.
2020-08-30. A video explaining my research interest is on YouTube. This is a part of the CNS series of promoting research agendas. Intended viewers are prospective graduate students.
2020-10-19. I, Mark and Steve wrote a response to a letter to the editor in The Annals of Applied Statistics (AOAS). The letter comments on the EM algorithm we used in our 2011 AOAS paper. We thought a proper response was due. This letter will appear in AOAS.
2020-10-06. I am selected to receive a prestigious five-year research grant from Samsung Science & Technology Foundation. The proposed topic is on generalizations of multi-source integrative factor models and statistical inference.
2020-09-22. The manuscript “Adjusting systematic bias in high dimensional principal component scores,” written by myself is accepted for publication in Statistica Sinica. Statistica Sinica is notorious for its long interval between the acceptance and print.
Last updated: October 22, 2020