After obtaining an MD in 1992 and a PhD in neurophysiology in 1998, Min Zhang received another PhD from the Department of Biological Statistics and Computational Biology at Cornell University in 2005 and joined Purdue University. Dr. Zhang is a professor in the Department of Statistics, a member of the Interdisciplinary Program in Computational Life Sciences, and a faculty associate at the Center on Aging and Life Course at Purdue. During the past 15 years, Dr. Zhang has focused her research on analyzing high-dimensional clinical and omics data that often occur in biomedical research, such as microarray data, mass spectrometry data, and data from genome-wide association studies. Dr. Zhang has successfully developed a method to identify differentially expressed genes with microarray data, a Bayesian model selection approach to map quantitative trait loci, and a penalized orthogonal-component regression method to identify biomarkers from a huge number of candidates with limited sample size.