Dr. Daniel Sodickson

Biography

Daniel K. Sodickson is an Adjunct Professor in the Department of Radiology at NYU Grossman School of Medicine. His primary research focuses on the development of innovative techniques for biomedical imaging, with a particular emphasis on creating new paradigms for rapid, continuous, and comprehensive imaging. He leads a multidisciplinary team that works at the intersection of basic imaging science, clinical applications, and industry collaborations to advance clinical evaluation and method development. Sodickson has been instrumental in the field of MRI, specifically by pioneering the concept of parallel MRI, which allows for the acquisition of MRI data in a parallel manner, significantly speeding up imaging processes. His research includes enhancing multiple imaging modalities such as MRI and PET CT, utilizing advanced data sampling strategies and novel image reconstruction algorithms, and integrating deep learning techniques to further improve imaging efficiency and accuracy. Throughout his early career, he has contributed to the basic development and clinical implementation of these rapid imaging technologies, ensuring they meet current clinical needs.

Research Interests

Experience