Program Overview
The Five-Year Clinician-Scientist pathway offers three spots per year and is designed to train the future generation of radiology clinician-scientists who push the limits of radiology and position themselves for a prestigious career in academic radiology. The program comprises one year dedicated to research (PGY-2) and four subsequent years of clinical radiology (see Four-Year Diagnostic Radiology Residency) during which six weeks of protected research time are incorporated each year.
The program is supported in part by an NIH T32 training grant and allows residents to work with world-renowned investigators in all fields of imaging science to select a project that will best meet their research and career goals. Residents are provided with support and guidance as they engage in cutting-edge research that will ultimately shape the future of diagnostic imaging. Publication and participation in radiology conferences and society meetings are encouraged and funded fully by the department for presenting authors. There are no clinical obligations during the first year, and the salary is commensurate with that of the clinical PGY-2 position.
For more information about the Five-Year Clinician-Scientist Radiology Residency, please visit the program’s page from the Department of Radiology.
Current Research Residents
Melina Hosseiny, MD
Previous Research Residents
Angela Chen, MD
Cody Keller, MD
Julie an, MD
Kang Wang, md, PhD
mark Barahman, md, phD
Mark Barahman joined the Liver Imaging Group in July 2021. He grew up in Israel and in New York City. He received his BS from the Macaulay Honors College in New York, and attended the medical scientist training program at the Albert Einstein College of Medicine for his MD-PhD. Mark enjoys spending time with his family, traveling to national parks, trail running, climbing, and cooking with his friends and family. At the LIG, Mark investigates novel quantitative imaging biomarkers and machine learning-based analysis tools in the liver. He received the RSNA research grant in 2022 to study point of care MR technology for liver fat quantification. He is also investigating the spatial distribution of liver fat in adult and pediatric cohorts with non alcoholic fatty liver disease.
