Danny J.J. Wang
Professor of Neurology, Radiology, and Biomedical Engineering
- 2010, Master's Degree, Clinical Epidemiology and Biostatistics, University of Pennsylvania
- 1998, Doctoral Degree, MRI Biophysics and Neuroscience, University of Science & Technology of China
- 1993, Bachelor's Degree, Biophysics, Fudan University
I am Professor of Neurology and Radiology, Director of Imaging Technology Innovation at Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California. I am also the Director of the Laboratory of Functional MRI Technology (LOFT)(www.loft-lab.org). I received Ph.D. in Biophysics from the University of Science and Technology of China (USTC), and postdoc training in the Departments of Radiology and Neurology at the University of Pennsylvania Medical Center. I also received training in biostatistics and clinical epidemiology through my secondary degree in Clinical Epidemiology (M.S.C.E.) at UPenn. Before joining USC, I have been an Associate Professor of Neurology and Radiology at David Geffen School of Medicine at UCLA, and an Assistant Professor of Radiology and Neurology at Perelman School of Medicine at UPenn.
During the past 20+ years, my research has been focused on the technical development and clinical translations of novel functional and physiological Magnetic Resonance Imaging (MRI) technologies, in particular noninvasive blood flow/perfusion imaging. I am a recognized expert in perfusion and functional MRI and have extensive experience in clinical applications related to neurologic and psychiatric disorders as well as body organs including kidney, liver and myocardium. I have also been supporting the scientific community by disseminating arterial spin labeling (ASL) sequences to approximately 300 Siemens imaging research centers around the world. In addition to MRI, I have experience in the technical development and clinical applications of Computed Tomography (CT) and Positron Emission Tomography (PET). To date, I have published over 200 peer reviewed publications and over 20 review chapters (https://scholar.google.com/citations?user=10iNskYAAAAJ&hl=en)). I enjoy working in this exciting and multidisciplinary field of medical imaging that involves Physics, Math, Engineering, Physiology and Medicine. I also enjoy working with scientists, engineers, physicians and entrepreneurs from various backgrounds.