Stanford University
Showing 21-30 of 64 Results
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Kawin Setsompop
Associate Professor of Radiology (Radiological Sciences Laboratory)
BioKawin Setsompop is an Associate Professor of Radiology and, by courtesy, of Electrical Engineering. His research focuses on the development of novel MRI acquisition methods, with the goal of creating imaging technologies that can be used to help better understand brain structure and function for applications in Healthcare and Health sciences. He received his Master’s degree in Engineering Science from Oxford University and his PhD in Electrical Engineering and Computer Science from MIT. Prior to joining Stanford, he was a postdoctoral fellow and subsequently a faculty at the A.A. Martinos center for biomedical imaging, MGH, as well as part of the Harvard and MIT faculty. His group has pioneered several widely-used MRI acquisition technologies, a number of which have been successfully translated into FDA-approved clinical products on Siemens, GE, Phillips, United Imaging and Bruker MRI scanners worldwide. These technologies are being used daily to study the brain in both clinical and neuroscientific fields.
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Shailja
Postdoctoral Scholar, Radiological Sciences Laboratory
BioDr. Shailja is a Postdoctoral researcher in the Radiological Science Laboratory at Stanford. She recently completed her PhD in Electrical and Computer Engineering at the University of California, Santa Barbara. Her research vision is to model healthcare data for precise diagnostics using AI and to integrate domain knowledge to "close the loop" between surgeons, physicians, and scientists. Her Ph.D. dissertation focused on developing a principled approach to model the white matter pathways in the human brain to analyze the topology of brain connections. At the Radiological Science Laboratory, she will primarily focus on mapping MRI structural and functional connectivity imaging data with electrophysiological measurements in the same patients.
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Sushruta Surappa
Postdoctoral Scholar, Radiology
BioSushruta Surappa is a postdoctoral researcher at the Canary Center for Early Cancer Detection at Stanford University. His current research focuses on developing various MEMS-based tools for the separation and capture of extracellular vesicles for medical diagnostics. Sushruta received his MS (‘15) and PhD (‘21) degrees in Mechanical Engineering from Georgia Institute of Technology, where he developed a new class of nonlinear MEMS transducers with applications in wireless power transfer, sensing and energy harvesting. He is passionate about developing low-cost, miniature technologies for medical diagnostics and is a keen proponent of science communication.
