Sam is a Bioinformatician who uses computational methods to interrogate big data sets that describe cancer biology. He aims to identify novel therapeutic targets and understand biological mechanisms through the application of novel pipelines and algorithms to complex datasets.

Previously, Sam built highly parallelised bespoke pipelines to analyse next generation sequencing data over high-performance computing clusters and performed downstream data analysis for a biobank of patient derived cancer cells. Sam obtained a master’s degree in physics from the University of Manchester before pursuing his PhD at the Cancer Research UK Manchester Institute, where he built an algorithm that identified clinically relevant, but previously overlooked, mutations in lung cancer.