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Ilya Shmulevich

Professor
Department of Biology
Institute for Systems Biology
United States of America

Biography

 Ilya Shmulevich received his Ph.D. in Electrical and Computer Engineering from Purdue University, West Lafayette, IN, in 1997. His graduate research was in the area of nonlinear signal processing, with a focus on the theory and design of nonlinear digital filters, Boolean algebra, lattice theory, and applications to music pattern recognition. From 1997-1998, he was a postdoctoral researcher at the Nijmegen Institute for Cognition and Information at the University of Nijmegen and National Research Institute for Mathematics and Computer Science at the University of Amsterdam in The Netherlands, where he studied computational models of music perception and recognition, focusing on tonality induction and rhythm complexity. In 1998-2000, he worked as a senior researcher at the Tampere International Center for Signal Processing at the Signal Processing Laboratory in Tampere University of Technology, Tampere, Finland. While in Tampere, he did research in nonlinear systems, image recognition and classification, image correspondence, computational learning theory, multiscale and spectral methods, and statistical signal processing.

Research Interest

 Computational biology, signal and image processing

Publications

  • e, William, Kalle Leinonen, Ilya Shmulevich, Theo A. Knijnenburg, and Brady Bernard. 2017. “Multiscale Mutation Clustering Algorithm Identifies Pan-Cancer Mutational Clusters Associated with Pathway-Level Changes in Gene Expression.” PLoS Computational Biology 13 (2): e1005347.

  • Sun, Yan, Ping Ji, Tao Chen, Xinhui Zhou, Da Yang, Yuhong Guo, Yuexin Liu, et al. 2017. “MIIP Haploinsufficiency Induces Chromosomal Instability and Promotes Tumour Progression in Colorectal Cancer.” The Journal of Pathology 241 (1): 67–79.

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