Prior to joining Pitt, Dr. Ren obtained his Ph.D. in Statistics at Yale University in 2014. He is broadly interested in high-dimensional statistical inference, covariance / precision matrix estimation, graphical models, statistical machine learning, nonparametric function estimation, robust covariance estimation and applications in statistical genomics.