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Dr. Mengjie Chen is an Associate Professor in the Biological Sciences Division at the University of Chicago. His primary research interests are focused on developing powerful statistical methods to address complex challenges posed by emerging technologies in data analysis and interpretation, particularly in biological and biomedical studies such as epigenetics and cancer genomics. Dr. Chen has developed novel methodologies across a range of analytical problems, including change point detection and identifying somatic copy number aberrations. His work integrates various statistical models to enhance gene expression analysis and single-cell sequencing data. The ultimate goal of his research is to create methods that integrate genomic features to predict clinical outcomes, advancing personalized disease diagnosis and prognosis. Dr. Chen earned his PhD in Computational Biology from Yale University in 2014.
Department of Philosophy