Research
Our lab integrates spatial biology and AI to map how tumors interact with the extracellular matrix and immune microenvironment.
ECM biology
Matrix remodeling and mechanics
We dissect how ECM architecture and stiffness shape tumor invasion, therapy response, and cell-state plasticity.
Spatial omics
Tissue organization at single-cell resolution
We use multiplex imaging, spatial transcriptomics, and 3D models to capture cellular neighborhoods.
AI for pathology
Interpretable machine learning
We develop ML pipelines to link image phenotypes with molecular programs for clinical translation.
Current initiatives
Spatial ECM atlas
Building a multi-modal atlas across early-stage tumors to define ECM-driven niches and biomarkers.
3D organotypic models
Engineering aligned ECM systems to test how tissue architecture guides invasion and immune interactions.
Clinical AI pipelines
Partnering with clinical teams to validate AI biomarkers in real-world pathology datasets.