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Jian Ma is an Associate Professor in Computational Biology at Carnegie Mellon University. His research focuses on developing new methodologies to identify important alterations in tumor cells. His primary interests include identifying significant genomic alterations, particularly non-coding mutations in cancer, as well as exploring the roles of 3D genome organization and structural variants in cancer genomes. Professor Ma employs machine learning methods to characterize genomic patterns and their connections to imaging data. He has authored numerous highlighted publications in prominent journals, contributing significantly to the field of computational cancer research.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.