- Undergraduate: University of Valladolid (Valladolid, Spain)
- Dartmouth College (Hanover, NH)
- University of Illinois at Urbana-Champaign (Urbana, IL)
Diego Hernando, PhD, is an Assistant Professor, who joined the Departments of Radiology and Medical Physics in 2016. He is originally from Valladolid, Spain, where he attended the Universidad de Valladolid, with a specific focus in Telecommunication Engineering. He moved to the United States and continued his studies, earning his Master’s degree in Computer Engineering at Dartmouth College, Hanover, NH, and his PhD in Electrical Engineering at the University of Illinois at Urbana-Champaign under the supervision of Zhi-Pei Liang. During this time, Dr. Hernando spent a considerable amount of time researching magnetic resonance, which was awarded in 2009 with the Isidor I. Rabi Award from the International Society for Magnetic Resonance in Medicine (ISMRM).
Dr. Hernando is the Director of quantitative body MRI in the Department of Radiology and leads an active NIH-funded research group devoted to the development and translational validation of quantitative imaging techniques. He is also the secretary of the International Society for Magnetic Resonance in Medicine (ISMRM) Quantitative MR Study Group. His research interests include multidimensional signal processing, estimation theory and algorithms, the development of imaging techniques for rapid and quantitative MRI, quantitative imaging, signal processing, MRI physics, and translational imaging. He is particularly interested in contributing to the transformation of MRI into a truly quantitative imaging modality. By measuring physically meaningful properties of tissue, his group aims to develop quantitative imaging biomarkers to improve the detection, staging and treatment monitoring of various diseases. Dr. Hernando works closely with the UW Liver Imaging Research Program (LIRP), in collaboration with Dr. Scott Reeder.
Dr. Hernando is also interested in enhancing UW-based collaborative research between imaging experts and machine learning experts. In cooperation with Po-Ling Loh and Varun Jog from the Department of Electrical and Computer Engineering, he co-organizes the Machine Learning for Medical Imaging (ML4MI) initiative. This consists of various activities, including monthly seminars by interval and external, technical and clinical speakers, a one-day workshop, and a pilot grant program.