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Zhijin (Jean) Wu is a Professor in the Department of Biostatistics at Brown University, with a robust research focus on developing statistical methodologies for analyzing data from biological experiments, particularly those derived from high-throughput biotechnologies like next-generation sequencing (NGS) and DNA microarray technologies. Dr. Wu's work encompasses various aspects of statistical method development, including models for differential expression and normalization of RNA sequencing data, as well as social network models for gene set analysis. Recent collaborative efforts have revolved around the epigenetic variations in cancer samples and the transcriptomic responses in toxicity studies. He has contributed significantly to the field with original implementations of statistical methods that have been widely adopted, including the GCRMA normalization method for microarray data analysis, which has been incorporated into commercial software. His dedication to developing new applications for microarray technology and investigating high-throughput screening assays underscores his commitment to advancing the field of biostatistics. His scholarly contributions include numerous publications in respected journals, emphasizing the role of statistical methods in enhancing the understanding of biological data.
Department: Department of Economics