Nabin Koiralaمشاهده پروفایل
پژوهشگر
Nabin Koirala is an Associate Research Scientist at Yale University's Child Study Center, where he conducts interdisciplinary research at the intersection of neuroscience, engineering, and clinical applications. His work focuses on understanding brain pathophysiology in neurological and neuropsychological disorders and developing disease-specific brain biomarkers. Dr. Koirala's educational background reflects a strong interdisciplinary foundation: PhD in Neuroscience from Johannes Gutenberg University (2019) MSc in Engineering & Neuroscience from Christian Albrechts University (2014) BE in Engineering from Tribhuvan University (2010) Postdoctoral Researcher at Haskins Laboratories (2022) His research program investigates the neural correlates of speech, hearing, and language-related disorders using multi-modal brain imaging and electrophysiological data. He applies state-of-the-art frameworks of complex network algorithms and machine learning approaches to analyze brain connectivity and function. Dr. Koirala's work spans several key areas including cochlear implant research, brain network analysis in neurological conditions, machine learning applications in neuroscience, deep brain stimulation mechanisms, and speech and language processing in the brain. His publication record demonstrates significant contributions to understanding how socioeconomic status influences brain circuitry for literacy, neural characteristics affecting literacy outcomes in children with cochlear implants, and the application of artificial intelligence in epilepsy care, particularly in resource-limited settings. His research often employs advanced neuroimaging techniques including EEG and functional near-infrared spectroscopy to examine cross-modal plasticity and sensory integration. Dr. Koirala collaborates extensively with researchers across disciplines, with frequent co-authorship with Vincent Gracco and Nicole Landi. His work bridges basic neuroscience with clinical applications, particularly in pediatric populations and neurological conditions including Parkinson's disease, multiple sclerosis, and stroke.








