The Peter Gavin Hall Early Career Prize recognizes early-career research accomplishments and research promise in statistics, broadly construed. The 2022 recipient of the Peter Gavin Hall IMS Early Career Prize is Weijie Su of the University of Pennsylvania.
Dr. Su is an Associate Professor in the Wharton Statistics and Data Science Department at the University of Pennsylvania. He was selected for Peter Gavin Hall IMS early Career Prize Award for “fundamental contributions to the development of privacy-preserving data analysis methodologies; for groundbreaking theoretical advancements in understanding gradient-based optimization methods; for outstanding contributions to high-dimensional statistics, including false discovery rate control and limits in sparsity estimation; for wide-ranging contributions to the theoretical foundation of deep learning.” Please refer to the link for details.
Dr. Su finished his PhD thesis titled “multiple testing and minimax estimation in sparse linear regression” in 2016, which received the Theodore Anderson theory of statistics dissertation award, under the supervision of Emmanuel Candes at Stanford University. With collaborators, he developed the SLOPE method for inference in high-dimensional linear models as well as introduced the framework of Gaussian differential privacy for reasoning about privacy-preserving data analysis.