Sohrab Shah is the Chief of Computational Oncology in the Department of Epidemiology and Biostatistics.
Sohrab Shah was appointed to MSK in April 2018 as the inaugural Chief of the Computational Oncology Service and is the incumbent of the Nicholls-Biondi Chair. He received a PhD in computer science from the University of British Columbia in 2008 and was appointed as a Principal Investigator to The British Columbia Cancer Agency and the University of British Columbia in 2010 where he developed the roots of his research program. He is a University of British Columbia Killam laureate and a Susan G. Komen Foundation Scholar. His research focuses on cancer evolution, where he uses integrative approaches involving genomics and computational modeling. He has led major projects including the analysis team of the METABRIC consortium, and has published major works in breast and ovarian cancer genomics, including the first description of mutational evolution in a breast cancer patient (Shah et al. Nature 2009), the first mutational landscape of triple negative breast cancers (Shah et al. Nature 2012) and single cell resolution demonstration of clonal evolution in breast cancer xenografts (Eirew et al. Nature 2015). More recently, he has made seminal contributions to understanding clonal evolution in ovarian cancer and discovered that specific mutational patterns related to foldback inversions in the genomes of ovarian cancers are prognostic in terms of treatment outcomes. Dr. Shah’s recent focus is in deciphering clonal evolution and mutational processes at single cell resolution. His work has been published in Nature, Nature Genetics, Nature Methods, Cell, NEJM, Genome Research, Genome Biology, amongst others.