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Wenxuan Zhong

Blurred image of the arch used as background for stylistic purposes.

Dr. Zhong graduated with a B.S. in statistics from Nankai University (China) and a Ph.D in statistics from Purdue University. She then worked as a postdoc fellow in Professor Jun Liu’s Lab in statistics department and FAS center of systems biology in Harvard University. She joined the Department of Statistics, UGA in 2013 and was an assistant professor in the Department of Statistics, UIUC from 2007-2013.

Job opening:

Postdoctoral positions in computational biology/bioinformatics is available immediately. These positions require excellent programming skills using C and Perl/Python and a firm knowledge of bioinformatics and Statistics. Interested candidates should forward their CV, selected reprints, a statement of research interests and goals (2-3 pages), and the contact information (phone, email, address) for three references to:

Dr. Wenxuan Zhong
Department of Statistics
310 Herty Dr.
University of Georgia
Athens, GA 30602-7952

  • PhD, Statistics, Purdue University, 2005
Research Areas:
Research Interests:

Dr. Zhong's research focuses on the statistical methodology and theory development to face the striking new phenomena emerged under the big data regime. Over the past few years, Dr. Zhong has established diverse extramurally funded research programs to overcome the computational and theoretical challenges arise from the big data analysis. The basic statistical researches are successfully applied in modern genomic, epigenetic, metagenomics, text-mining and chemical sensing researches. Dr. Zhong is the founding director of the Big Data Analytics Research Initiative and the PI for a big data analytics dry lab located in the Pound Hall in University of Georgia. Dr. Zhong's research is highlighted by The University of Georgia Columns and College of Liberal Arts & Sciences University of Illinois at Urbana-Champaign.

Events featuring Wenxuan Zhong

In this talk, I will present the Correlation Pursuit (COP) method, a variable selection procedure developed under the sufficient dimension reduction framework. Unlike the conventional stepwise, COP does not impose a special form of relationship between the response variable and the predictor variables. The COP procedure selects variables that maximize the…

Recently, a low cost yet highly sensitive colorimetric sensor array (CSA) for the detection and identification of volatile chemical toxicants has been developed. Classification analysis holds the key to the success of the array in discriminating multiple toxicants. The data output by the CSA are in the form of matrices, which render many traditional classification…

Articles Featuring Wenxuan Zhong
Monday, March 5, 2018 - 4:32pm

The Department of Statistics congratulates Dan Hall, Abhyuday Mandal, Cheolwoo Park, and Wenxuan Zhong on their recent promotion to the rank of Full Professor and Pengsheng Ji on his promotion to the rank of Associate Professor with tenure. This is an…

Wednesday, October 29, 2014 - 3:56pm

DNA methylation has been newly discovered as a key controller in gene transcription too. Aberrant DNA methylation changes can cause a number of human diseases such as developmental diseases (ICF syndrome, Prader-Willi and Angelman syndromes etc), ag- ing…

Tuesday, August 27, 2013 - 12:43pm

Joining us from The University of Illinois at Urbana-Champaign, Dr. Wenxuan Zhong and Dr. Ping Ma offer a plethora of experience including Doctoral degrees from Purdue University and serving as Postdoctoral Fellows at Harvard University.  Dr.

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