Dr. Chen’s primary research is driven by the need to develop powerful statistical methods to address the complex challenges posed by emerging technologies in data analysis and interpretation, particularly in the context of biological and biomedical studies such as epigenetics and cancer genomics. Dr. Chen has developed novel methodologies for a range of analytical problems, including change point detection for identifying somatic copy number aberrations, nonparametric Bayesian methods for integrating somatic mutation heterogeneity into gene expression analysis, Gaussian graphical models for eQTL analysis, and approaches for analyzing single-cell sequencing data. The ultimate goal of Dr. Chen’s work is to create methods that integrate genomic features into the prediction of clinical outcomes, with the potential to advance personalized disease diagnosis and prognosis.
Mengjie Chen, PhD
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Associate Professor of Medicine
Associate Professor of Human Genetics
Committee on Cancer Biology
Committee on Genetics, Genomics and Systems Biology - Research and Scholarly Interests: Cancer Genomics, Single Cell Sequencing Analysis, Statistical Genomics
- Websites: Genetic Medicine Page, Human Genetics Page, Mengjie Chen Lab, Research Network Profile
- Contact: mengjiechen@uchicago.edu
- Graduate Programs: Cancer Biology, Genetics, Genomics & Systems Biology, Human Genetics, UChicago Biosciences