Paul Yi is the director of the Intelligent Imaging Informatics (I3) Division and an associate professor of radiology at St. Jude Children’s Research Hospital. At Johns Hopkins, he is an adjunct research scientist in the Malone Center for Engineering in Healthcare. Previously, he served as one of the founding co-Directors of the Johns Hopkins Radiology AI Lab.

His current research interests include the development and application of artificial intelligence and deep learning towards medical imaging applications, with a particular interest in evaluating the trustworthiness and fairness of deep learning models in radiology. Yi is the recipient of numerous national research awards, both within the fields of radiology and orthopaedic surgery, including cum laude awards from the Radiological Society of North America (RSNA) and the American Roentgen Ray Society, as well as the Frank E. Stinchfield, MD Award from the Hip Society. He has published over 90 articles in the peer-reviewed medical literature and his research has been supported by the RSNA and a Johns Hopkins University Discovery Award.

Yi received his BA in medical sciences (summa cum laude) and MD from Boston University through its seven-year accelerated medical program. Prior to his career in radiology, he completed a research fellowship in total joint arthroplasty at Rush University Medical Center with Dr. Craig Della Valle and two years of orthopaedic surgery residency training at the University of California, San Francisco, where his research expertise lay in the diagnosis of periprosthetic joint infection. He completed his radiology residency in 2020 and musculoskeletal imaging fellowship in 2021, both at Johns Hopkins.

Yi is interested in building cross-institutional collaborations within both medicine and engineering and welcomes inquiries for any potential partnerships.