Dr. Sun-Joo Jang, MD, PhD is a physician-scientist in cardiology. He joined Yale School of Medicine as a clinical fellow in cardiovascular medicine with a T32-research grant at Y-TRIC. Dr. Jang finished his internal medicine residency at Asan Medical Center (Seoul, Korea) and Yale University/Bridgeport Hospital. He has a PhD in medical science and engineering (mechanical engineering) from KAIST (2012-2016). His thesis examined the development of high-speed, multifunctional optical coherence tomography (OCT). He continued his research as a postdoctoral fellow at Harvard Medical School (Wellman Center for Photomedicine, Massachusetts General Hospital, 2016-2018) and at Weill Cornell Medical College (Department of Radiology, New York Presbyterian Hospital, 2018-2020). His research interests include molecular imaging using SPECT/CT, PET/CT and intravital microscopy, intravascular imaging and physiology (OCT, IVUS, FFR), cardiac CT/MRI, immersive media (AR/VR/MR) and artificial intelligence/machine learning in medical imaging.
Dr. Sun-Joo Jang, MD, PhD is a physician-scientist in cardiology. He joined Yale School of Medicine as a clinical fellow in cardiovascular medicine with a T32-research grant at Y-TRIC. Dr. Jang finished his internal medicine residency at Asan Medical Center (Seoul, Korea) and Yale University/Bridgeport Hospital. He has a PhD in medical science and engineering (mechanical engineering) from KAIST (2012-2016). His thesis examined the development of high-speed, multifunctional optical coherence tomography (OCT). He continued his research as a postdoctoral fellow at Harvard Medical School (Wellman Center for Photomedicine, Massachusetts General Hospital, 2016-2018) and at Weill Cornell Medical College (Department of Radiology, New York Presbyterian Hospital, 2018-2020). His research interests include molecular imaging using SPECT/CT, PET/CT and intravital microscopy, intravascular imaging and physiology (OCT, IVUS, FFR), cardiac CT/MRI, immersive media (AR/VR/MR) and artificial intelligence/machine learning in medical imaging.