Wu, Zhijin

Assistant Professor:
Community Health
Phone: +1 401 863 1230
Zhijin_Wu@brown.edu

Zhijin (Jean) Wu's research interest is in statistical methodology for data from biological experiments, especially those generated from high-throughput biotechnologies.

Biography

Dr Wu is a PhD in biostatistics and MS in molecular biology. Her research focuses on developing statistical methods and softwares for high throughput technologies such as DNA microarrays. She is primarily interested in analysis of feature level data.

Interests

Zhijin's primary interest is in developing statistical methods for analyizing data from microarray experiments. She and colleagues proposed the model-based preprocessing method, GCRMA, that adjusts for non-specific background and normalizes raw measurements from microarrays and produces more accurate and precise estimates of gene expression levels. In addition to their original implementation of the method provided through the Bioconductor project, GCRMA has also been incorporated into commercial software for microarray data analysis, such as GeneSpring, and has become a popular alternative to the manufacturer-provided procedure.

Besides gene expression experiments, she continues to work on methods for new applications of the microarray technology, such as detecting single nucleotide polymorphisms (SNPs) and DNA methylation. She is also interested in high-throughput screening (HTS) on cell based assays.

Degrees

PhD (Biostatistics),The Johns Hopkins University School of Public Health, 2005

Awards

Margaret Merrell Award for outstanding research 2005

Affiliations

American Statistical Association

Funded Research

N/A

Web Links

• A Statistical Framework for the Analysis of Microarray Probe-Level Data
• A Model Based Background Adjustment for Oligonucleotide Expression Arrays
• Statistical Applications in Genetics and Molecular Biology
• web page at statcenter

Curriculum Vitae

Download Zhijin Wu's Curriculum Vitae in PDF Format