School of Medicine
Showing 3,041-3,060 of 13,033 Results
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David Epstein
Clinical Assistant Professor, Medicine - Infectious Diseases
Current Research and Scholarly Interestspulmonary infections, bronchiectasis, and suppurative lung diseases complicating BMT and CAR-T; bronchiectasis; NTM infections
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Ahmet Görkem Er
Postdoctoral Scholar, Radiology
BioAhmet Görkem Er, M.D., Ph.D., is a physician-scientist and postdoctoral fellow in Integrative Biomedical Imaging Informatics (IBIIS) at Stanford University. He graduated from Istanbul University Faculty of Medicine and completed dual residency training in internal medicine and infectious diseases and clinical microbiology at Hacettepe University. He also has a Ph.D. in medical informatics from Middle East Technical University.
As a Fulbright Ph.D. Dissertation Research Grantee (2022–2023), Dr. Er conducted research at the Stanford Center for Biomedical Informatics Research, focusing on multimodal data integration in COVID-19 patients. This work resulted in a publication in NPJ Digital Medicine demonstrating the value of combining clinical, imaging, and viral genomic data for improved disease modeling. He returned to Stanford in 2024 as a visiting researcher and is currently a postdoctoral fellow, where he combines his clinical background with advanced computational methods.
Dr. Er’s research focuses on developing artificial intelligence and multimodal data fusion approaches for complex diseases. His work integrates a broad spectrum of inputs, including medical imaging, histopathology, clinical data, genomics, and spatial transcriptomics, to improve patient stratification and support data-driven clinical decision-making. -
Berrin Er
Affiliate, Medicine - Med/Pulmonary, Allergy & Critical Care Medicine
Visiting Scholar, Medicine - Med/Pulmonary, Allergy & Critical Care MedicineBioBerrin Er, M.D., is a physician and visiting scholar in the Division of Pulmonary, Allergy, and Critical Care Medicine. She graduated from Istanbul University Faculty of Medicine and completed her residency training as well as a critical care fellowship at Hacettepe University, Ankara, Turkey.
As a visiting researcher, Dr. Er integrates her clinical expertise with advanced computational methods. Her research focuses on interstitial lung diseases, with an emphasis on radiomics, and on analyzing diverse datasets related to respiratory diseases using data-driven approaches. Her work aims to enhance disease characterization and support clinical decision-making.
www.linkedin.com/in/berrin-er-b3214999 -
Cordelia Erickson-Davis MD PhD MPH
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioDr. C. Erickson-Davis is a psychiatrist and medical anthropologist specializing in the care of patients with Functional Neurological Disorder (FND), and other complex neuropsychiatric presentations. Her clinical work is grounded in a deep respect for the lived experience of illness and healing and integrates neurological, psychiatric, and sociocultural perspectives. She is committed to collaborative, trauma-informed care that honors the mind-body relationship without reduction.
Her research investigates how theories of mind and brain are shaped by social context - and how, in turn, those theories of perception shape lived experience, including in the clinic. She is developing the framework of Perception as Constitutive Intra-action (PCI) to theorize these dynamics, and is currently writing a book on the lived experience of visual prosthesis users and the history of “information” in the neurosciences, tracing how it has shaped theories, technologies, and subjective experience.
She leads the Precision Language Lab Initiative at Stanford, a space for collaborative inquiry into how lived experience, narrative, and perception can be more meaningfully integrated into the clinical neurosciences. -
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.
