School of Medicine
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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. -
Arvin Eslami
Research Associate, Medicine - Med/Immunology & Rheumatology
Current Role at StanfordResearch Associate in the Division of Immunology & Rheumatology at Stanford University School of Medicine.
Responsibilities include supporting immunotherapy and cellular therapy research (CAR-T and TIL), clinical data organization, database management, and contribution to manuscripts, systematic reviews, and meta-analyses.
July 2025 – Present -
Aryan Esmaeili
Instructor (Affiliated), Psych/Public Mental Health & Population Sciences
BioMy research bridges Veteran mental health, brain injury, and computational neuroscience through the development of artificial intelligence (AI), machine learning (ML), and real-world data methods to improve cognitive and rehabilitation outcomes among high-risk Veteran populations. My work focuses on the intersection of traumatic brain injury (TBI), neurodegeneration, substance use disorders, and psychiatric comorbidities, with an emphasis on understanding heterogeneous cognitive trajectories among Veterans. At the C-BRAIN Lab, I collaborate on computational approaches that integrate multimodal electronic health record (EHR) data, neuropsychological assessments, clinical narratives, and longitudinal health outcomes to better characterize cognitive impairment and recovery processes. My current research develops AI/ML phenotyping methods to distinguish potentially reversible cannabis-related cognitive impairment from progressive neurodegenerative disorders using large-scale Veterans Health Administration (VHA) data.
My long-term research goal is to advance precision rehabilitation and cognitive health strategies for Veterans with complex neurological and psychiatric conditions, including TBI and spinal cord injury (SCI). By combining computational neuroscience, causal inference methods, and patient-centered outcomes research, I aim to identify high-risk individuals earlier, improve cognitive outcome measurement, and inform more effective rehabilitation and mental health care strategies within and beyond the VA healthcare system.
