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Daniel Spielman is a Professor in the Department of Radiology at Stanford University. His research focuses on field medical imaging, especially magnetic resonance imaging (MRI) and spectroscopy (MRS). Spielman’s current projects involve assessing glycolysis and oxidative phosphorylation using 13C MRS hyperpolarized substrates, optimizing mapping of 1H metabolite distributions in the body, and quantifying neurotransmitter levels and cycling rates in the brain. His work employs novel array acquisition and analysis techniques in both preclinical and clinical studies, particularly aimed at improving cancer diagnosis, treatment monitoring, and understanding metabolic diseases. With a Ph.D. in Electrical Engineering from Stanford University, he has contributed significantly to advancements in imaging methodologies, overcoming challenges such as low concentrations of target components and magnetic field inhomogeneities. He collaborates across various departments within the Medical School and School of Engineering to mentor graduate students in programs like Biophysics and Bioengineering.
Stanford University • Stanford, California
Leading research and teaching in the field of Radiology with a focus on advanced imaging techniques.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.