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Russell S. Schwartz is a Professor and Head of the Computational Biology Department at Carnegie Mellon University. His research encompasses a broad range of areas within algorithms, machine learning, and numerical methods applied to complex systems biology. He has made significant contributions to computational genetics, genomics, and biophysics, particularly focusing on understanding genetic variation and its implications for phylogenetics and population genetics. Schwartz has also investigated stochastic simulation to model macromolecular assembly processes and is deeply engaged in cancer research, specifically in the somatic evolution connected to cancer. Recent projects include developing algorithms for reconstructing cellular lineages in cancers, leveraging machine learning to predict cancer progression outcomes, and integrating multiomic data using innovative single-cell spatial genomics techniques. Additionally, he is committed to advancing computational biology education, working on defining standards and core competencies for training individuals in the life sciences. Schwartz's collaborative efforts span across educational frameworks and the computational needs of experimental biologists and healthcare professionals.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.