Decoding the extracellular matrix to reveal early cancer signals.
We blend spatial biology, 3D tissue models, and machine learning to map how the tumor microenvironment evolves and to build clinically actionable biomarkers.
At a glance
We focus on ECM remodeling, immune dynamics, and AI-powered histopathology to enable precision oncology.
Research focus
Key themes that shape our lab program and collaborations.
ECM dynamics
We study how matrix architecture and mechanics drive tumor progression and therapy resistance.
Spatial tissue profiling
Our workflows integrate spatial omics, multiplex imaging, and single-cell analysis.
AI for pathology
We build interpretable ML models that connect image phenotypes to molecular programs.
Latest highlights
We are building a multi-modal atlas of ECM remodeling in early-stage tumors.
Open positions for computational and experimental trainees. Contact us to learn more.
Work with us
We welcome collaborations across pathology, oncology, spatial biology, and data science.
Get in touch