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Yajun Mei is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. [CV]

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.