Sushant Kumar

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Scientist, Princess Margaret Cancer Centre

Keywords: cancer genomics, precision oncology, machine learning, biomolecular structure, non-coding genome, genomic rearrangements

Dr. Kumar is a Scientist at the Princess Margaret Cancer Centre and an Assistant Professor in the Department of Medical Biophysics at the University of Toronto. He obtained his Ph.D. in bioinformatics and genomics from the Pennsylvania State University and completed his post-doctoral training at Yale University. Over the years, Dr. Kumar has extensively collaborated with various scientists and clinicians as part of large-scale genomic sequencing efforts, including the TCGA/ICGC Pan-cancer Analysis of Whole Genome (PCAWG), 1000 Genomes, ENCODE, Center for Mendelian Genomics and the Human Genome Structural Variation Consortia.

Rapid declines in sequencing costs have enabled large-scale genome and exome sequencing for various cancer cohorts. A critical shared objective among such studies has been to understand how genomic variants affect tumour etiology. How may we develop robust quantitative models to predict the impact of somatic mutations on gene expression and protein function? Furthermore, how may we leverage these quantitative models to prioritize genomic variants and utilize this knowledge to develop new cancer therapeutics? My lab is interested in developing integrative methods that use multiple data resources and cross-disciplinary approaches to address questions of this nature.

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Sushant Kumar

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