Danna Zhang received her B.S. in mathematics from Zhejiang University in 2012 and was awarded the Chu Kochen Award in 2011, then earned her Ph.D. in statistics from the University of Chicago in 2017. After completing her Ph.D. studies, she joined the Department of Mathematics, University of California, San Diego, and is currently an Assistant Professor. Her main research interests include high-dimensional time series, high-dimensional significance testing, change-point detection, high-order statistics, nonlinear time series, non-stationary time series, bootstrapping and subsampling, time-varying networks, and random graphs.

Mengyu Xu is an Associate Professor in the Department of Statistics and Data Science at the University of Central Florida. She received her bachelor’s degree in statistics from Renmin University of China in 2010 and obtained her M.S. and Ph.D. degrees from the Department of Statistics of the University of Chicago in 2012 and 2016, respectively. Her research interests include high-dimensional hypothesis testing, change-point detection, time-series analysis, and network recovery.