Recipient of the 2025 Gottfried E. Noether Early Career Scholar Award from ASA; Will teach a tutorial on “Statistical and Algorithmic Foundations of Reinforcement Learning” in the INFORMS Annual Meeting, jointly with Yuxin Chen and Yuejie Chi.
Research Experience
Prior to joining the Wharton School at the University of Pennsylvania, Dr. Wei spent two years as an Assistant Professor at Carnegie Mellon University and one year as a Stein's Fellow at Stanford University.
Education
Stanford University, Stein's Fellow / Lecturer, 2018 - 2019; University of California, Berkeley: Ph.D. in Statistics, 2013 - 2018, advised by Martin Wainwright and Aditya Guntuboyina; Peking University: Bachelor of Science (B.S.) Statistics, 2009 - 2013; Peking University: Bachelor of Arts (B.A.) Economics, 2010 - 2013.
Background
Her research interests span statistics, mathematical optimization, information theory, and machine learning. More specifically, she has been developing theoretical and algorithmic tools for learning from high dimensional and structured data, and understanding the sample efficiency in reinforcement learning and diffusion models. She is also interested in statistical problems arising from genetics and genomics.
Miscellany
Currently looking for students and postdocs interested in high dimensional statistics and machine learning.