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Yajun Mei is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech [CV]. He is also a co-director of Biostatistics, Epidemiology, Research Design (BERD) at Georgia Clinical & Translational Science Alliance  (Georgia CTSA), and holds weekly free biostatistical consulting sessions at IBB #1317 to junior researchers at Georgia Tech during academic year. In addition, he is the ISyE coordinator of the MS STAT program at Georgia Tech.

Dr. Mei’s research interests are statistical/machine learning, data science, and streaming data analysis, and their applications in engineering and biomedical sciences, particularly, active/reinforcement learning, change-point problems, and sequential analysis in Statistics/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.

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.