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Lin Chen is a Professor at the University of Chicago in the Department of Public Health Sciences. His research interests focus on the development of statistical methods for analyzing large-scale integrative genomics data, particularly in the context of high-dimensional datasets that include genetic information, gene transcriptional expression, and proteomic data. His work includes the development of R packages and methodologies aimed at advancing statistical genomics. Chen's educational background includes a PhD in Biostatistics from the University of Washington and postdoctoral training at the Fred Hutchinson Cancer Research Center. He has received several awards, including the Departmental Dissertation Award in 2017-2018 and recognition as an Associate Editor for the journal Biometrics. Currently, he is involved in multiple NIH-funded research initiatives focusing on integrative analyses and genetic mechanisms in various health contexts.
University of Chicago • Chicago IL
Professor in the Department of Public Health Sciences, focusing on statistical genomics.
Department of Philosophy