The Statistics Seminar speaker for Wednesday, May 2, 2018 is Wei Biao Wu, a professor within the department of statistics at the University of Chicago. According to his website: "I am establishing a framework and a systematic theory for high-dimensional inference under dependence, and developing necessary tools so that the dependence can be accounted for. In particular, I am working on model selection, covariance matrix estimation, regression, mean vector estimation, and multiple testing problems for data with dependence. On the probabilistic side, I am interested in deviation and concentration inequalities for dependent random variables which may not have exponential moments. I am also investigating the deep Gaussian approximation problem."