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Dr. Lin Chen is a Professor in the Department of Public Health Sciences at the University of Chicago. His research focuses on developing statistical methods for analyzing large-scale integrative genomics data. Dr. Chen's lab has made significant contributions by developing R packages for 'omics' studies, which incorporate multiple types of high-dimensional data, including genetic data, gene transcriptional expression data, and proteomic data. His expertise lies in statistical genomics, particularly in the realm of complex phenotypes. He has published extensively in high-impact journals and has authored numerous papers on multi-omics analysis, statistical techniques, and methodologies that confront challenges such as non-ignorable missingness in proteomics data. Dr. Chen holds a PhD in Biostatistics from the University of Washington and has conducted postdoctoral training at the Fred Hutchinson Cancer Research Center. He is actively involved in the academic community, serving as a reviewer for various research publications and holding editorial positions.
University of Chicago • Chicago, IL
Leading academic in the Department of Public Health Sciences, specializing in statistical genomics and bioinformatics.
Department of Philosophy