Shinjini Kundu, MD, Ph.D., is a physician and medical researcher at Johns Hopkins Hospital. She is well-known for her work in diagnosing diseases from medical images at a pre-emergent stage where the images do not show human-identifiable abnormalities. By making previously imperceptible patterns recognizable using artificial intelligence, Shinjini's work has been truly transformational. Before her clinical appointment in radiology at Johns Hopkins, she received a PhD in artificial intelligence from Carnegie-Mellon concurrently with an MD from the University of Pittsburgh. Earlier, she obtained her BS and MS in electrical engineering from Stanford University. She is a prolific researcher with publications in top journals such as the Proceedings of the National Academy of Sciences and Nature Medicine. Her work has had a regional, national, and international impact. She has given TEDx talks and has been a featured speaker at the World Business Dialogue in Germany. She has also been named to the Forbes 30 under 30 and MIT Technology Review 35 under 35 lists. Shinjini contributed to the emerging digital health policies of the American Medical Association, digital privacy policies at the Observer Research Foundation, and the AI for good forum at the United Nations. Her work stands to accelerate new precision medical diagnostic technologies capable of detecting diseases earlier, with greater accuracy and suggestions for tailored treatments.