Daniel Rubin

Daniel Rubin is a leader in biomedical imaging informatics who has advanced federated learning approaches for cancer radiology AI at Stanford. His work on imaging annotation standards and ontologies enables consistent data representation across federated learning nodes. He has contributed to multi-institutional cancer imaging AI studies that leverage federated architectures for improved model generalization and clinical deployment.