Speaker: Daniel Rubin, M.D.

Professor of Biomedical Data Science and Radiology at Stanford University

Dr. Rubin is a tenured Professor of Biomedical Data Science, Radiology, and Medicine (Biomedical Informatics Research) at Stanford University and Director of Biomedical Informatics for the Stanford Cancer Institute.

His NIH-funded research program focuses on artificial intelligence in medicine and quantitative imaging, integrating imaging with clinical and molecular data, and mining these Big Data to discover imaging phenotypes that can predict disease biology, define disease subtypes, and personalize treatment.

Key contributions include discovering quantitative imaging phenotypes in radiology, pathology, and ophthalmology images that identify novel clinical subtypes of disease that help to determine treatments and improve clinical outcomes.

He is a Fellow of the Fellow of the American College of Medical Informatics, Fellow of the American Institute for Medical and Biological Engineering (AIMBE) College, and Distinguished Investigator in the Academy for Radiology & Biomedical Imaging. Dr. Rubin has published over 250 peer-reviewed scientific paper and pending patents on 10 inventions.