Connor Knight is a Computational Biologist at MTM. He applies computational biology and single-cell data analysis to support preclinical programmes, biomarker discovery, and patient stratification for precision medicine. At MTM he works within multidisciplinary teams analysing complex biological datasets to better understand disease mechanisms and support the discovery and development of new therapies, particularly in immunology, inflammation, and oncology.
Connor’s work focuses on translational bioinformatics, including the analysis of single-cell transcriptomic and multi-omic datasets to uncover molecular pathways driving disease and to identify biomarkers that inform patient stratification strategies. He collaborates closely with biologists and clinicians to translate biological data into insights that support drug discovery and preclinical development. His interest in computational biology stems from a fascination with large biological datasets and the opportunity to bridge biology and data science to better understand human disease and advance precision medicine. Connor completed his PhD in cancer bioinformatics at the Barts Cancer Institute, where his research explored the molecular drivers of cancer and how ageing shapes immune system function.
