Daren Wang completed his Ph.D. in statistics from Carnegie Mellon University in 2018. He then took a postdoctoral position at the University of Chicago. His research interests include scientific computing in high dimensions; tensor-based linear algebra and its applications to machine learning; nonparametric estimation; and change-point detection and inference.