Stanford University
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Mgbechi Ugonna Erondu
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Assistant Professor (By courtesy), PediatricsBioMgbechi Ugonna Erondu, MD MFA is currently a Clinical Assistant Professor for the Department of Anesthesia, Pain and Perioperative Medicine and the Division of Quality of Life and Pediatric Palliative Care at Stanford University and is board-certified in Pediatric Anesthesiology and Hospice and Palliative Medicine. Her academic interests include the intersection between fiction writing and medical humanities, perioperative management of pediatric palliative care patients, interdisciplinary care of persons living with sickle cell disease, and equitable and inclusive global health practices.
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Koray Ertan
Research Engineer, Rad/Radiological Sciences Laboratory
BioKoray Ertan received his B.Sc. degree in Electrical and Electronics Engineering from Bilkent University, Turkey, where he also completed his Ph.D. under the supervision of Prof. Ergin Atalar. During his doctoral studies, he conducted research at the National Magnetic Resonance Research Center (UMRAM) in Turkey. His dissertation focused on the development of novel magnetic resonance imaging (MRI) technologies, including gradient array systems aimed at improving diagnostic image quality, reducing specific absorption rate (SAR), and shortening scan times.
In April 2019, he joined Prof. Brian Rutt’s group at Stanford University as a postdoctoral researcher. Shortly after, in June 2019, he was also appointed as a MINDED postdoctoral fellow. As part of the MINDED program, his research involved developing a system to modulate the permeability of the blood-brain barrier using focused radiofrequency heating from ultra-high field MRI transmit coils, with the goal of enhancing nanomedicine-based treatments for neurodevelopmental disorders.
He is currently a Research Scientist in the Radiological Sciences Laboratory at Stanford. His present work focuses on the design of next-generation head gradient coils and the analysis of peripheral nerve stimulation (PNS) thresholds. He is developing a predictive framework to estimate subject-specific PNS limits using basic demographic data and localizer MRI scans, with the aim of enabling safer and more efficient MRI.
