Xiao-Li Meng is the Whipple V.
N. Jones Professor of Statistics and Chair
of the Department of Statistics at Harvard University; previously
he taught at The University
of Chicago (1991-2001). His degrees include
BS (Fudan Mathematics Department, 1982), Master of Science Diploma
(Fudan Mathematics
Institute, 1986), Master of Art (Harvard
Statistics, 1987), and Ph.D. (Harvard Statistics, 1990).
He was
the recipient of the 1997-1998
University of Chicago Faculty Award for
Excellence in Graduate Teaching, the 2001
COPSS (Committee of Presidents of Statistical
Societies) Award, the 2003 Distinguished
Achievement Award and the 2008 Distinguished
Service Award from the International Chinese
Statistical Association, and the 2010 Medallion
Lecturer from the Institute of Mathematical
Statistics (IMS).
He has served on numerous
professional committees, including chairing
the 2004 Joint Statistical Meetings and
the Committee on Meetings of American Statistical
Association (ASA) from 2005-2011. He is
an elected fellow of ASA and of IMS. He
has also served on editorial boards for
The Annals of Statistics, Bayesian Analysis,
Bernoulli, Biometrika, Journal of The American
Statistical Association, as well as the co-editor
of Statistica Sinica. Currently, he is
the Statistics Editor for the IMS Monograph
and Textbook Series. He is also a co-editor
of Applied Bayesian Modeling and Causal
Inference from Incomplete-data Perspectives
(Gelman and Meng, 2004, Wiley & Sons),
Handbook of Markov Chain Monte Carlo (Brooks,
Gelman, Jones, and Meng, 2011,
Chapman & Hall/CRS), and Strength in Numbers: The Rising of
Academic Statistics Departments in the
U. S. (Agresti and Meng, 2012, Springer).
His
research interests include inference
foundations and philosophies, models of all flavors,
deterministic and stochastic algorithms,
signal extraction in physical, social
and medical sciences, and occasionally elegant mathematical statistics.
He also writes articles about statistical
education and communication, and about
professional development. |
