Dr. Daniel Sodickson

Biography

Daniel K. Sodickson is an adjunct professor in the Department of Radiology at NYU Grossman School of Medicine. His research focuses on developing new techniques for biomedical imaging, particularly in rapid imaging using various modalities such as MRI and PET CT. He leads a multidisciplinary team aiming to create a paradigm shift in comprehensive imaging, leveraging advancements in image acquisition and reconstruction, including artificial intelligence. Throughout his career, he has been instrumental in the genesis of parallel MRI, which utilizes radiofrequency coil arrays to collect data simultaneously, facilitating faster imaging processes. Sodickson’s work encompasses innovative data sampling strategies and the development of state-of-the-art algorithms for image reconstruction informed by the latest advancements in deep learning and inverse problem regularization. He has contributed significantly to the clinical implementation of rapid imaging techniques that enhance both basic imaging science and clinical practices, showcasing a commitment to improving human health through technological advancement in medical imaging.

Research Interests

Experience