My research is focused on the links between cancer and inflammation, being especially interested in translating knowledge of cancer biology into new biological treatments for cancer and in the role that inflammatory cytokines play in cancer promotion. We study the tumour microenvironment of ovarian cancer using a platform of human multi-cellular tissue culture models and mouse models to research biological therapies that may prevent relapse and increase patient survival.
We are investigating how drug resistance evolves in bowel and gastro-oesophageal cancers, how these tumour types can be treated more effectively through novel immunotherapies and targeted drugs, and how treatment sensitivity and resistance can be predicted.
My main research focuses on examining the immune landscape and identifying specific immune determinants that can predict the progression from actinic keratosis, a pre-malignant lesion, to cutaneous SCC. I am analysing single cell RNA-seq data and utilizing machine learning algorithms to evaluate potential diagnostic and prognostic markers that could aid in the identification of high-risk SCC patients. The identification of these markers is critical for early detection and intervention, which can significantly improve patient outcomes.