The Grigoriadis Cancer Bioinformatics Group integrates computational and experimental approaches to advance translational cancer research. With a primary focus on breast cancer and applications across other tumour types, the team combines machine learning, computational pathology and multi-omics integration with wet-lab investigation of tumour and lymph node biology using mouse models and patient samples. By integrating quantitative image analysis, molecular profiling and translational modelling, the team’s multidisciplinary efforts aim to uncover clinically actionable insights and set new standards in precision medicine.

Through the Spatial Biology Facility, we provide our research community with access to spatial transcriptomics techniques and analysis to assist with their own research projects. https://www.spatialbiologyfacility.co.uk/