Sohrab Shah is the Chief of Computational Oncology in the Department of Epidemiology and Biostatistics. Dr. Shah received a PhD in computer science from the University of British Columbia in 2008 and developed his research program in computational biology at BC Cancer Agency and the University of British Columbia starting in 2010. His research focuses on developing and using computational methods to understand cancer evolution and treatment response. This encompasses advanced machine learning and Bayesian statistical methods to analyze and interpret large-scale datasets in cancer research. At MSK, Dr. Shah is building new and innovative capacity in computational methods across the spectrum of data-intensive research activity. This includes multimodal data integration such as genomics and imaging, high-resolution single-cell genomics, and transcriptomics. His translational focus lies in breast cancer and ovarian cancer, in which he has pioneered discovery of prognostic mutational signatures and large-scale studies of mutational landscapes and evolution of these cancers. Dr. Shah is a former Canada Research Chair, is a Komen Scholar, and holds the Nicholls-Biondi Endowed Chair in Computational Oncology at MSK.
Sohrab Shah, PhD
Research FocusThe Shah Lab studies cancer evolution and response to treatment through high density genomics coupled with advanced computational methods such as machine learning and Bayesian statistical models.
EducationPhD, The University of British Columbia
- Wang YK, Bashashati A, Anglesio MS, Cochrane DR, Grewal D, Ha G, McPherson A, Horlings HM, Senz J, Prentice LM, Karnezis, Anthony N, Lai D, Aniba MR, Zhang AW, Shumansky K, Siu C, Wan A, McConechy MK, Li-Chang H, Tone A, Provencher D, de Ladurantaye M, Fleury H, Okamoto A, Yanagida S, Yanaihara N, Saito M, Mungall AJ, Moore R, Marra MA, Gilks CB, Mes-Masson A, McAlpine JN, Aparicio S, Huntsman DG and Shah SP. Genomic consequences of aberrant DNA repair mechanisms stratify ovarian cancer histotypes. Nature Genetics. 2017 Jun;49(6):856-865. doi: 10.1038/ng.3849.
- Zhang A, McPherson A, Milne K, Kroeger DR, Hamilton PT, Miranda A, Funnell T, Litlle N, De Souza CPE, Laan S, LeDoux S, Cochrane DR, Lim J, Yang W, Roth A, Smith MA, Ho J, Tse K, Zeng T, Shlafman I, Mayo MR, Moore R, Failmezger H, Heindl A, Wang Y, Bashashati A, Grewal D, Brown SD, Lai D, Wan A, Nielsen C, Anglesio M, Bouchard-Cote A, Yuan Y, Wasserman W, Gilks B, Karnezis AN, Aparicio S, McAlpine J, Huntsman DG, Holt RA, Nelson BH, Shah SP. Interfaces of malignant and immunologic clonal dynamics in ovarian cancer. Cell. 2018 May 7. Pii: S0092-8674(18)30445-8.doi:10.1016/j.cell.2018.03.073.[Epub ahead of print] PubMed
- Susan B Komen Scholar (2018)
- Clarivate Analytics Highly Cited Researchers 2018