I am an Assistant Professor in the Department of Statistics at Korea University. My research interests include dimension reduction, functional data analysis, statistical machine learning, and graphical models.
Prior to joining KU in 2021, I worked at The University of North Carolina at Charlotte as an Assistant Professor of Statistics and an Affiliated Faculty in the School of Data Science. I received a Ph.D. in Statistics at The Pennsylvania State University, B.S. in Statistics and B.S. in Mathematical Sciences at Seoul National University in South Korea.
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Last modified May, 2021.
Dimension reduction for functional data based on weak conditional momentsThe Annals of Statistics (Accepted)
Multivariate Neighborhood Trajectory Analysis: An Exploration of the Functional Data Analysis ApproachGeographical Analysis (Accepted)
Nonlinear and additive principal component analysis for functional dataJournal of Multivariate Analysis, 181, 104675.
On sufficient dimension reduction for functional data: Inverse moments based methodsWIREs: Computational Statistics, 11(4), e1459.
Molecular, physiological and behavioral responses of honey bee (Apis mellifera) drones to infection with microsporidian parasitesJournal of Invertebrate Pathology, 155, 14-24.
Nonlinear sufficient dimension reduction for functional dataThe Annals of Statistics, 45, 1059--1095.
Multivariate functional group LASSO: functional predictor selectionsubmitted.
Sparse Multivariate Functional PCAsubmitted.
Nonlinear and additive functional group sparse regression: nonlinear functional predictor selection
Sufficient dimension reduction for general tensor product
Calibration of High-dimensional Spatial Data via nonlinear sufficient dimension reduction
Self-modeling Nonlinear Poisson regression model
On functional Spearman's correlation and the related canonical correlation analysis