Associate Professor of Biostatistics
121 S. Main Street
Providence, RI 02912
Phone:+1 401 863 1230
Read Zhijin Wu's full Faculty Profile.
Zhijin (Jean) Wu's research interest is in statistical methodology for data from biological experiments, especially those generated from high-throughput biotechnologies.
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, second generation sequencing and high throughput screening assays. She is primarily interested in analysis of feature level data.
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Zhijin's primary interest is in developing statistical methods for analyzing data from biological experiments. These include second (next) generation sequencing (NGS), microarray, and other high throughput biotechnologies.
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.
PhD (Biostatistics),The Johns Hopkins University School of Public Health, 2005
Margaret Merrell Award for outstanding research 2005
American Statistical Association
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