Cancer research
Computational precision oncology
Understanding how tumors respond, resist, and adapt to therapy through multimodal data science.
We develop computational approaches to analyze clinical, imaging, and omics data. By integrating public cancer datasets with deep, longitudinal profiling of patient tumors, we work to identify biomarkers that can inform therapy selection and reveal how cancers adapt to treatment.
Our work includes multimodal single-cell tumor atlases, spatial biomarkers in tumor ecosystems, and machine learning to understand therapeutic response and resistance.
