Young Kinh-Nhue Truong
Young Kinh-Nhue Truong, Ph.D., is a professor of Biostatistics at the University of North Carolina at Chapel Hill. His research expertise includes statistical learning, functional modeling, time series, Spatio-temporal data analysis, and event history analysis. He has contributed significantly in the areas of statistical time series/longitudinal modeling using splines, window or kernel-based smoothing methods, and wavelets. His current research focuses mainly on Spatio-temporal data analysis with the aim to spatially localize dynamic processes in the functional magnetic resonance imaging (fMRI) or electroencephalography (EEG) human brain data. He is also interested in developing statistical inference for group comparison based on human brain imaging data and methods for analyzing neuro-spike train data. His teaching and research experience in linear mixed modeling has provided new insights and approaches to many statistical analyses for handling between- and within-subject variability.