1. Turismo

Xiongzhi Chen
C ONTACT
I NFORMATION
R ESEARCH
I NTERESTS
P OSTDOCTORAL
T RAINING
Lewis-Sigler Institute for Integrative Genomics
Carl Icahn Laboratory
Princeton University
Princeton, NJ 08544
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Mobile: 1-765-413-7825
Fax: 1-609-258-8020
E-mail: [email protected]
Web: http://www.princeton.edu/~xiongzhi
Large scale inference for dependent data and discrete data
Variable and model selection via regularization
Spectral theory of random matrices with applications to high-dimensional statistics
Scalability of computational tools in high-dimensional statistics
Stochastic differential equations with applications to mathematical finance
Postdoctoral Research Associate
05/2013 to present
Lewis-Sigler Institute for Integrative Genomics, Princeton University
• Supervisor: Professor John D. Storey
• Responsibilities: Developing theory and methodologies for high-dimensional statistical
inference under dependence.
Postdoctoral Research Assistant
01/2013 to 04/2013
Department of Statistics, Purdue University
• Supervisor: Professor Rebecca W. Doerge
• Responsibilities: Developing statistical theory and methodologies for multiple testing
with discrete genomic data.
E DUCATION
Ph.D. in Statistics, 08/2009 – 12/2012
• Purdue University, West Lafayette, IN, USA
• Advisor: Professor Rebecca W. Doerge
• Dissertation: General Methods for Adaptive Control and Estimation of False Discovery Rate
M.A. in Mathematics, 08/2007 – 05/2009
• University of Hawaii at Manoa, Honolulu, HI, USA
• Advisor: Professor Thomas Ramsey
• Thesis: The Shanghai Stock Exchange: Statistical Properties and Simulation by Generalized Hyperbolic Diffusion
M.S. in Mathematics, 09/2003 – 07/2006
• Sichuan University, Chengdu, Sichuan, China
• Advisor: Professor Changlin Cai
• Thesis: Infinite Dimensional Statistical Neural Manifolds
P UBLICATIONS AND [1] Xiongzhi Chen and R.W. Doerge (2015): A weighted FDR procedure under discrete and
P REPRINTS
heterogeneous null distributions. Under review by “Journal of the Royal Statistical Society, Series B”; manuscript available at http:// arxiv.org/ abs/ 1502.00973, and R package available at http:// www.princeton.edu/ ~xiongzhi/ fdrDiscreteNull.
[2] Xiongzhi Chen and R.W. Doerge (2014): Generalized estimators for multiple testing: proportion of true nulls and false discovery rate. Under review by “Journal of the Royal
Statistical Society, Series B”; available at http:// arxiv.org/ abs/ 1410.4274.
[3] Xiongzhi Chen and R.W. Doerge (2014): On a strong law of larger numbers related to
multiple testing normal means. Under review by “The Annals of Statistics”; available
at http:// arxiv.org/ abs/ 1410.4276.
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[4] Xiongzhi Chen and R.W. Doerge (2014): Estimating the proportion of nonzero normal
means under certain strong covariance dependence. Preprint; available at http:// arxiv.
org/ abs/ 1410.4275.
[5] Xiongzhi Chen and R.W. Doerge (2012): Towards better FDR procedures for discrete test
statistics. Proceedings of Kansas State University Conference on Applied Statistics in
Agriculture, 294-303.
[6] Xiongzhi Chen and Changlin Cai (2006): A new architecture for multilayer perceptrons
as function approximators. Natural Science Edition, Journal of Sichuan University, Vol.
2.
[7] Changlin Cai, Zhongzhi Shi, Xiongzhi Chen (2006). The Fisher information matrix
on neural manifolds of multilayer perceptrons. Natural Science Edition, Journal of
Sichuan University, Accepted.
M ANUSCRIPTS
[1] Xiongzhi Chen and John D. Storey (2014): Natural exponential families: existence of
reduction functions and resolution of a conjecture.
[2] Xiongzhi Chen and John D. Storey (2014): Nonparametric estimation of row space of
dependence kernel and nonparametric CDI algorithm.
[3] Xiongzhi Chen and John D. Storey (2014): Estimating the proportion of true nulls via
goodness of fit.
[4] John D. Storey and Xiongzhi Chen (2014): Recovering linear latent structure in highdimensional data.
[5] David G. Robinson, Xiongzhi Chen and John D. Storey (2014): Functional false discovery
rate control for multiple hypothesis testing with application to genomics.
[6] Keyur H. Desai, John D. Storey and Xiongzhi Chen (2013): Empirical Bayes inference of
dependent high-dimensional data.
T ECHNICAL
R EPORTS
[1] Xiongzhi Chen and R.W. Doerge (2012): Generalized estimators for multiple testing: proportion of true nulls and false discovery rate. Department of Statistics, Purdue University.
[2] Xiongzhi Chen and R.W. Doerge (2012): Estimating the proportion of nonzero normal
means under certain strong covariance dependence. Department of Statistics, Purdue
University.
I NVITED TALKS ,
P RESENTATIONS
AND P OSTERS
[1] Xiongzhi Chen (02/2015): A weighted FDR procedure for discrete data. Bioinformatics
Seminar, Purdue University, West Lafayette, IN, USA.
[2] Xiongzhi Chen (01/2015): Large scale inference for discrete data and dependent data.
Department of Mathematical Sciences, University of Cincinnati, OH, USA.
[3] Xiongzhi Chen (11/2012): Classification of objects and false discovery rate. Poster: The
3rd Purdue University Annual Next Generation Scholars Research Fair.
[4] Xiongzhi Chen (10/2012): General methods for adaptive control and estimation of false
discovery rate. Presentation: Purdue Statistics Graduate Student Seminar.
[5] Xiongzhi Chen (05/2012): A generalized estimator of the proportion of true nulls for multiple testing. Presentation: Kansas State University Conference on Applied Statistics in
Agriculture, Kansas State University, Manhattan, KS.
[6] Xiongzhi Chen and R.W. Doerge (05/2011): Dependent test statistics and control of false
discovery rate. Poster: Kansas State University Conference on Applied Statistics in
Agriculture, Kansas State University, Manhattan, KS.
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T EACHING
E XPERIENCE
Department of Statistics, Purdue University, West Lafayette, IN
08/2009 – 12/2009
Teaching Assistant
• Courses: Elementary Statistical Methods (STAT 301), Statistics and Society (STAT 113)
• Responsibilities: Co-leading lab sessions where students used SPSS to practice statistical methods covered in lecture; teaching recitation sessions; writing and grading
quizzes, home-work, and exams.
Transpacific Hawaii Collage, Honolulu, HI
07/2008 – 09/2008
Instructor
• Course: Elementary Statistics (MATH 200)
• Responsibilities: Teaching the course; writing and grading homework, quizzes and exams.
Department of Mathematics, University of Hawaii, Honolulu, HI
08/2007 – 05/2009
Teaching Assistant
• Course: Applied Calculus (MATH 215, MATH 216)
• Responsibilities: Leading lab sessions where students used Derive to practice techniques
of calculus covered in lecture; teaching recitation sessions; grading homework, quizzes
and exams.
R ESEARCH AND
C ONSULTING
E XPERIENCE
Purdue University, West Lafayette, IN
06/2012 – 12/2012
Research Assistant
• Supervisor: Professor Rebecca W. Doerge
• Developing non-permutation based multiple testing methods for high dimensional dependent data and discrete data.
01/2012 – 05/2012
Research Assistant
• Supervisor: Professor Rebecca W. Doerge
• Processing and integrated statistical analysis of SNP, mRNA and miRNA data generated
from various platforms.
Consultant at Statistical Consulting Service (SCS)
08/2010 – 12/2011
• Assisting members of Purdue’s academic community with statistical design, data analysis, and software issues for their research.
01/2012 – 05/2012
Research Assistant
• Supervisor: Professor Dabao Zhang
• Contributing to methodologies in estimating distribution of extreme values; assisting
the development of generalized cross validation for penalized orthogonal-components
regression.
P ROFESSIONAL
S ERVICE
Conference services
• Coordinator for two sections: 8th International Purdue Symposium on Statistics, 2012.
Referee Service
• Journal of Applied Statistics
P ROFESSIONAL
M EMBERSHIPS
American Statistical Association (ASA), Member, 2010–present
AWARDS
Graduate Assistantship
• Department of Statistics, Purdue University, 08/2009 – 12/2012
• Department of Mathematics, University of Hawaii, 08/2007 – 05/2009
Society for Industrial and Applied Mathematics (SIAM), Member, 2009–present
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