Our research

Cancer doesn’t
act alone.

We study how the physical organisation of tissue and its immune neighbourhoods influence cancer progression.

Our approach

01 /

Extracellular matrix and mechanics

We investigate how collagen organisation and tissue mechanics affect cancer-cell behaviour, invasion and plasticity.

02 /

Spatial immune biology

We use multiplex tissue imaging and spatial analysis to study relationships between cancer cells, immune cells and the extracellular matrix.

03 /

Computational pathology

We develop and apply AI methods to study tissue morphology, molecular features and potential biomarkers from pathology images.

Current projects

DERMIS

2026–2028

Academy of Medical Sciences Springboard support for our research at the intersection of extracellular matrix biology, spatial analysis and cancer.

Award details →

B cells and matrix topography

Eve Guild’s Cancer Research UK PhD project investigates B-cell dynamics and extracellular matrix topography in melanoma.

Second supervisor: Prof Sophia Karagiannis

Multimodal AI for spatial biology

Bahar Sevgin’s BBSRC PhD project develops uncertainty-aware multimodal deep learning for morphologically ambiguous biological boundaries in melanoma.

Second supervisor: Dr Ziquan Liu

Industry-linked digital pathology

Sayali Dinesh Shinde’s MRC iCASE studentship connects academic research with industrial partner Panakeia Technologies.

Second supervisor: Prof Claude Chelala

From models to patient tissue

Our work combines 3D collagen and organotypic models with multiplex immunohistochemistry, spatial tissue profiling and computational analysis. We use these complementary approaches to test biological mechanisms and investigate their relevance in patient samples.

Selected publications