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Mengjie Chen is an Associate Professor in the Department of Medicine at the University of Chicago. Dr. Chen's primary research focuses 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. She has developed novel methodologies for a range of analytical problems, including change point detection, identification of somatic copy number aberrations, nonparametric Bayesian methods for integrating somatic mutation heterogeneity with gene expression analysis, and Gaussian graphical models for expression quantitative trait loci analysis. Her work aims to create methods that integrate genomic features for predicting clinical outcomes, thereby advancing personalized disease diagnosis and prognosis. Dr. Chen's research has significant implications in understanding the genetic architecture of complex traits and diseases, as well as supporting innovative approaches in the rapidly evolving field of genomics.
Department of Philosophy