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Feng Liang is a Professor in the Department of Statistics at the University of Illinois Urbana-Champaign. He earned his Ph.D. in Statistics from Yale University in 2002 and his B.A. in Mathematics from Peking University in 1997. His research interests include Bayesian methods, decision theory, information theory, minimum description length principle, and data mining. Liang has a significant contribution to the field, serving as an Associate Editor for Bayesian Analysis from 2009 to 2015 and as Editor for the ISBA Bulletin between 2013 and 2015. He also has additional campus affiliations with the Program in Actuarial Science Risk Management at the College of Liberal Arts and Sciences and with the Information Trust Institute and Biomedical Translational Sciences.
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