Ilya Shmulevich's Computational Biology Research group; i) works with diverse data types to construct models of biomolecular systems; ii) develops and uses theories of complex systems to gain fundamental insights into the organization, information processing, and dynamics of living systems; iii) develops machine learning methods for biomarker discovery, particularly in the context of cancer, and iv) develops image analysis approaches for high-throughput cellular imaging and microfluidic platforms.
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