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Russell Schwartz is a Professor in the Biological Sciences at Carnegie Mellon University. His research focuses on computational cancer genomics, particularly on tumor evolution and heterogeneity. He develops computational models and algorithms to construct realistic models of clonal evolution in cancers using diverse data sources and mutational mechanisms. His work includes understanding the mechanisms behind the evolution of copy number alterations (CNAs) in cancers, and he is dedicated to creating machine learning methods that predict cancer progression risk based on genomic data. Applying these methods, he aims to understand how variations in mutational processes contribute to cancer risk from one patient to another.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.