Yajun Mei, professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE), has been elected as a 2023 Fellow of the American Statistical Association (ASA).

Mei was chosen for his path-breaking research in sequential analysis and change-point detection, seminal contribution to streaming data analysis in machine learning and data science, and outstanding service to the profession.

The ASA will honor him at an awards ceremony on August 8, 2023, during the Joint Statistical Meetings (JSM) in Toronto. Professor Mei's nomination was put forth by Roshan Joseph, the A. Russell Chandler III Chair and a professor in ISyE.

Mei received his Ph.D. in Mathematics with a minor in Electrical Engineering from the California Institute of Technology (Caltech) in 2003 and a B.S. in Mathematics from Peking University, China in 1996. He has also worked as a Post Doc in Biostatistics for two years in the renowned Fred Hutchinson Cancer Research Center in Seattle before joining ISyE in January 2006.

His research endeavors primarily revolve around the development of practical (bio)statistical, machine learning, and data science theories and algorithms, for efficient real-time or online data-driven decision-making with applications to engineering, operation research, and biomedical and health sciences.

Mei’s honors include:

  • 2021 Star Research Achievement Award in the Virtual Critical Care Congress
  • 2020 Best Paper Competition Award in the Quality, Statistics & Reliability (QSR) of INFORMS
  • 2010 CAREER Award from National Science Foundation
  • 2009 Abraham Wald Prize in Sequential Analysis
  • 2008 Best Paper Award of the 11th International Conference on Information Fusion.

He is an Associate Editor of Technometrics, Statistica Sinica, Journal of Applied Statistics, and Sequential Analysis. He was the past president of the ASA Georgia Chapter.

Yajun Mei