The Institute of Mathematical Statistics (IMS) is pleased to announce Ming Yuan as the 2026 IMS Carver Medal recipient. Professor Yuan is a Professor of Statistics at Columbia University and earns the award: “for outstanding service to the IMS in multiple capacities, including serving as Co-Editor of The Annals of Statistics, IMS Program Secretary, member of numerous IMS committees, as well as for broad and sustained professional service to the statistical community.” The IMS created…

The PDF version of the April/May 2026 IMS Bulletin is online now: download the complete PDF. You can also read selected articles at https://imstat.org/news/. Contents include: IMS Hall, Tweedie and Carver prize winners Members’ news: Shahjahan Khan honoured with Order of Australia Medal, 2026 COPSS Award Winners Weijie Su, Amy Herring, Larry Wasserman Year of Math website Registration for IMS 2026 meeting; IMS fund for childcare costs ICSDS 2025 report and photos…

A new issue of Annals of Applied Statistics has been published. You can get a summary in PDF-format at: https://www.imstat.org/publications/aoas/aoas_20_1/aoas_20_1.pdf If you or your library has subscribed to the journal, electronic access to the full journal articles is at: https://projecteuclid.org/ or https://www.jstor.org/…

Yuting Wei, Associate Professor in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania, has received the 2026 Peter Gavin Hall IMS Early Career Prize. Dr. Wei receives the award “for contributions to statistical theory and methodology in learning from high-dimensional and structured data; for advancing the statistical foundations of reinforcement learning and diffusion models; and for fostering the integration of statistics and machine learning in genomics applications.” The Peter…

The IMS Tweedie New Researcher Award provides funds for travel to present the Tweedie New Researcher Invited Lecture at the IMS New Researchers Conference. The recipient of the 2026 Tweedie New Researcher Award is Kaizheng Wang. Dr. Wang is an Assistant Professor in the Department of Industrial Engineering and Operations Research at Columbia University. The IMS Committee on Travel Awards selected him: “For seminal contributions to learning from heterogeneous data, particularly in developing sharp theory…