Tony Cai is the Dorothy Silberberg Professor of Statistics at the Wharton School of the University of Pennsylvania. He is also a professor in the Applied Mathematics and Computational Science Graduate Group and an Associate Scholar of the Department of Biostatistics and Epidemiology in the School of Medicine at Penn.
He is the recipient of the 2008 COPSS Presidents' Award, given by the Committee of Presidents of Statistical Societies.
The award citation is as follows.
COPSS Presidents' Award Citation
For fundamental and wide-ranging contributions to the mathematics, theory and methods of statistics, including the theory and application of wavelets, block thresholding in wavelet regression, optimality theory, adaptation in nonparametric function estimation, confidence intervals in small samples, and methods for false discovery rate control; for applications to chemical identification, medical imaging and microarray data analysis; and for outstanding contributions to the statistical profession through extensive editorial work and mentorship of students.
Here you can find an interview he gave after winning the COPSS Presidents' Award.
Tony Cai received his Ph.D. in mathematics in 1996 from Cornell University.
A complete list of his professional services can be found here.
Tony Cai is a Fellow and a Medallion Lecturer of the Institute of Mathematical Statistics (IMS). He is a Co-Editor of the Annals of Statistics (2010-2012). Previously he has served as an Associate Editor for the Annals of Statistics, the Journal of American Statistical Association, Statistica Sinica, and Statistics Surveys. He is a member of the editorial board of the Fronteirs of Statistics book series. He was also a Guest Editor for a special issue of Statistica Sinica on Multiscale Methods and a Guest Editor for a special issue of the Journal of Nonparametric Statistics for the Inaugural IMS-China International Conference held in Hangzhou, China in 2008.
His current research interests include high dimensional statistical inference, the topic of the HOH 2012. Furthermore, he is interested in large-scale multiple testing, nonparametric function estimation, functional data analysis, inference for discrete distributions, and statistical decision theory. He is also interested in applications to compressed sensing, chemical identification, medical imaging and microarray data analysis. His research has been supported by the National Science Foundation since 2000 through a number of research grants.
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