Dr. Corcoran is the founding director of the Genomic Analysis and Bioinformatics Shared Resource. He has over 15 years of experience in computational biology analyzing high-throughput genomic data. With a Ph.D. in Human Genetics and an M.S. in Biostatistics, Dr. Corcoran specializes in collaborating with life science investigators to ensure they receive high quality, accurate, and interpretable results from the analysis of their data.

Dr. Chen has been working in bioinformatics since 2000. After graduating from the Interdisciplinary Biological Sciences Program at Northwestern University, Dr. Chen worked in both academia and industry before joining Duke in 2005. He provides bioinformatics support to investigators at the Duke Cancer Institute, with an emphasis on sound data provenance and reproducible analysis. He looks forward to assisting researchers analyze their high-dimensional genomic data.

Dr. Fradin joined the Genomic Analysis and Bioinformatics Shared Resource this year to help analyze the genomic data generated by Duke investigators and their laboratories. She first worked as a telecommunications and computer engineer before deciding to go back to school to study the biological sciences. As a PhD student, she combined her fields of expertise to sequence and analyze the genome of one of the few eukaryotes with a single chromosome. She is very enthusiastic about participating in the innovative research conducted at Duke.

Joseph Prinz is a computational biologist conducting high-throughput data-analysis. As a contributing member of the modENCODE consortium, he had the opportunity to work at the forefront of genomics, developing statistical-learning approaches to next-generation sequencing data-analysis. Prinz joined the core in winter 2014 and looks forward to helping investigators better understand their data.

Zhengzheng Wei analyzes high-throughput genomic data. She has extensive experience working with Affymetrix gene expression microarray data.

Dr. Mueller has over 16 years of experience in Bioinformatics and computational biology, with a research emphasis in pathogenic and symbiotic microbial interactions. He joined the Duke Center for the Genomics of Microbial Systems (GeMS) Bioinformatics Group in 2013, where he collaborated with multiple principal investigators, and contributed analyses of high-dimensional genomic and transcriptomic data as well as microbial communities. He also serves as a consultant and teacher to the Duke community. Dr. Mueller complements the core in a joint effort between GeMS and GCB since 2016.