Yajun Mei is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech as well as an affiliated faculty member of the Parker H. Petit Institute for Bioengineering and Bioscience (IBB), see his CV. In addition, he is a co-director of Biostatistics, Epidemiology, Research Design (BERD) at Georgia Clinical & Translational Science Alliance  (Georgia CTSA), and holds weekly free biostatistical consulting sessions during 10:30-11:30am on Mondays at IBB #1317 to junior researchers at Georgia Tech during academic years. Moreover, he is also the ISyE coordinator of the MS STAT program at Georgia Tech.

Dr. Mei’s research interests are statistics, machine learning, and data science, and their applications in engineering and biomedical sciences, particularly, change-point problems, sequential analysis, streaming data analysis and active/reinforcement learning in Statistics and Machine Learning; quality control, sensor networks, and information theory in Engineering; as well as precision/personalized medicine, hot-spots detection for infectious diseases, longitudinal data analysis, random effects models, and clinical trials in Biostatistics. His research has been supported by the NSF and NIH, and his work has received several recognitions including 2009 Abraham Wald Prize in Sequential Analysis, 2010 NSF CAREER Award, 2023 Fellow of American Statitistical Association (ASA), and multiple best paper awards.

Dr. Mei received a B.S. in Mathematics from Peking University in P.R. China, and a Ph.D. in Mathematics with a minor in Electrical Engineering from the California Institute of Technology. He has also worked as a postdoc in Biostatistics for two years in the Fred Hutchinson Cancer Research Center in Seattle, WA.