The 2022 recipient of the Peter Gavin Hall IMS Early Career Prize is Weijie Su of the University of Pennsylvania.

Weijie Su receives the 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.”

Weijie Su is an Associate Professor in the Wharton Statistics and Data Science Department and in the Department of Computer and Information Science, at the University of Pennsylvania. He obtained his Ph.D. from Stanford University and his bachelor’s degree from Peking University. 

Weijie Su's research interests include statistical machine learning, deep learning theory, high-dimensional statistics, privacy-preserving data analysis, optimization, and large-scale multiple testing. He also recently received the inaugural SIAM Early Career Prize in Data Science, which recognizes an outstanding early-career researcher in the mathematics of data science.

News sources:

https://imstat.org/2022/06/07/weijie-su-wins-peter-gavin-hall-ims-early-career-prize/