Computational Biomarker Imaging Group (CBIG)

Welcome to CBIG

The Computational Biomarker Imaging Group (CBIG) investigates the role of novel quantitative imaging biomarkers for improving personalized decisions for cancer screening, prognosis, and treatment. Our research interests also include leveraging data science and artificial intelligence to integrate imaging biomarkers with non-imaging data, such as electronic health record (EHR) data, genetics, histopathology, and genomic data, into integrated precision diagnostics. Our vision is to act as a translational catalyst between imaging data science and clinical cancer research by integrating image analysis, machine learning, and artificial intelligence in clinically relevant cancer imaging applications.

We are a research group within the Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID) at Columbia University. We collaborate with faculty in the Herbert Irving Comprehensive Cancer Center (HICCC), the Irving Institute for Clinical and Translational Research, the Department of Biomedical Informatics (DBMI), the Mailman School of Public Health, Columbia Engineering, and the Columbia University Data Science Institute.