Wen Zhou is an Assistant Professor in the Department of Statistics at Colorado State University. He obtained his Ph.D. degrees in Applied Mathematics and Statistics at Iowa State University in 2010 and 2014. Dr. Zhou’s research mainly focuses on developing computational methods, statistical models and inference procedures to study data of high-dimensionalities from genomic and biomedical studies. Dr. Zhou has experience on building theoretically justified statistical models and procedures for analyzing different types of omics data to draw biologically critical insights. He has developed inference procedures for different statistical problems for high-dimensional data, including testing for the structures of high-dimensional covariance matrix, comparing large covariance matrices with complex unknown structures and a novel gene clustering algorithm; testing high-dimensional mean vectors with unknown complex dependency; identification of pairwise informative features for clustering data with growing dimensions; and detection of spurious discoveries in genomic studies using a nonparametric procedure. He has also collaborated with researchers in biology at ISU, CSU and Donald Danforth Plant Science Center to bring methodological advances into plant physiology studies. He has also been actively working on statistical learning and inference on graphical and hypergraphical models, inference of spatial-temporal processes, multiple time series and inference on panel data, and robust clustering analysis.