Chief of Computational Oncology, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center
Professor, Weill Cornell Medical College
New York, NY
Dr. Shah’s research is directed towards understanding how tumors evolve over time. He holds a Ph.D. in Computer Science from the University of British Columbia and started his independent research laboratory in 2010. His seminal contributions include the first descriptions of mutational profiles in breast cancer, and the clonal fitness landscape induced by mutations in the tumor suppressor p53 and chemotherapy in breast tumors.
Dr. Shah was appointed as the inaugural Chief of Computational Oncology at Memorial Sloan Kettering Cancer Center in 2018, and he is appointed as Professor, Physiology, Biophysics and Systems Biology at Weill Cornell Medical college. Dr. Shah has spearheaded several programmatic research initiatives, aimed at ovarian cancer evolution and the molecular determinants of drug resistance. His team also developed a new platform for single cell whole genome sequencing and computational tools for the analysis of single cell genomic and transcriptomic data.
Dr. Shah has published many peer-reviewed papers in high impact journals and supervised more than 40 trainees. During his tenure at MSK he has helped accrue approximately $30 million in research funding.