Jianqing Fan is a co-editor of Journal of Econometrics and and an associate editor of and Journal of the American Statistical Association (1996-Present), among others, was the co-editor of Annals of Statistics (2004-2006) and an editor of Probability Theory and Related Fields (2003-2005), Econometrical Journal (2007-2012), and on the editorial boards of Econometrica (2010-2013), Annals of Statistics (1998-2003), Statistica Sinica (1996-2002), and Journal of Financial Econometrics (2009-2012). He was the past president of the Institute of Mathematical Statistics (2006-2009), and past president of the International Chinese Statistical Association (2008-2010).
After receiving his Ph.D. in Statistics from the University of California at Berkeley in 1989, he has been appointed as assistant, associate, and full professor at the University of North Carolina at Chapel Hill (1989-2003), and as professor at the University of California at Los Angeles (1997-2000), Professor of Statistics and Chairman at the Chinese University of Hong Kong (2000-2003), and professor at the Princeton University (2003-Present), where he directs the Committee of Statistical Studies since 2006 and chaired Department of Operations Research and Financial Engineering from 2012 to 2015. He was named Frederick L. Moore'18 Professor of Finance since 2006.
Fan has coauthored three highly-regarded books on Local Polynomial Modeling (1996), Nonlinear time series: Parametric and Nonparametric Methods (2003) and The Elements of Financial Econometrics (2015). He authored or coauthored over 200 articles on finance, economics, statistical machine learning, computational biology, semiparametric and non-parametric modeling, nonlinear time series, survival analysis, longitudinal data analysis, and other aspects of theoretical and methodological statistics. He has been consistently ranked as a top 10 highly-cited mathematical scientist since the existence of such a ranking. His published work on statistics, financial econometrics, computational biology, and statistical machine learning has been recognized by the 2000 COPSS Presidents' Award, given annually to an outstanding statistician under age 40, invited speaker at The 2006 International Congress for Mathematicians, The Humboldt Research Award for lifetime achievement in 2006, The Morningside Gold Medal of Applied Mathematics in 2007, honoring triennially an outstanding applied mathematician of Chinese descent, Guggenheim Fellow in 2009, Pao-Lu Hsu Prize (2013), presented every three years by the International Chinese Statistical Association to individuals under the age of 50, and Guy Medal in Silver (2014), presented once a year by Royal Statistical Society, and the election to Academician from Academia Sinica (2012) and to the fellow of American Association for the Advancement of Science, Institute of Mathematical Statistics, and American Statistical Association.