Sohrab Shah

Sohrab's research focuses on understanding how tumours evolve over time through integrative approaches involving genomics and computational modeling. He has pioneered computational methods and software for inference of mutations in cancer genomes as well as deciphering patterns of cancer evolution which have been widely disseminated internationally. He has a track record of developing novel, innovative Bayesian statistical models, algorithms, and computational approaches to analyze large, high dimensional genomics and transcriptomic data sets, from both patient tumours and model systems--this includes advancing molecular profiling of cancer cells at single cell resolution.