School of Medicine
Showing 181-190 of 599 Results
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Emily Scarpulla Raymond
Member, Maternal & Child Health Research Institute (MCHRI)
BioDr. Emily Scarpulla Raymond, PhD is a pediatric psychology fellow at Stanford University. She received her PhD at the University of Maine, Orono in clinical psychology in 2024 and received her bachelor’s degree in psychology at the University of Rochester in 2018. Emily has conducted research focusing on adolescent psychosocial behavior and outcomes with a particular emphasis on the role of social media in adolescent friendships. As a clinician, Emily works with children and adolescents with comorbid medical and psychological conditions in several medical clinics through Lucile Packard Children's Hospital Stanford.
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Jennifer L. Raymond
Berthold and Belle N. Guggenhime Professor
Current Research and Scholarly InterestsWe study the neural mechanisms of learning, using a combination of behavioral, neurophysiological, and computational approaches. The model system we use is a form of cerebellum-dependent learning that regulates eye movements.
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Babak Razavi, MD, PhD
Clinical Associate Professor, Adult Neurology
BioDr. Razavi's clinical interests are in medically refractory epilepsies and using high density EEG (electroencephalogram) for better localization of seizure foci. His research areas include using advanced digital signal processing and engineering techniques for analyzing EEG and using seizures as a model for understanding consciousness.
Dr. Razavi is the Founder and Director of DEL - Distributed EEG Lab. DEL's vision is to make EEG easy as 1, 2, 3. We turn complexity into simplicity. We are distributed in time and space. DEL was founded in the spirit of cloud computing, networking, and the notion that research in collaboration is more exciting and fruitful than in isolation. Everyone contributes - no matter how small; everyone wins - no matter how big. It was inspired by the mentorship of Dr. Kimford Meador and Dr. Robert Fisher. All you need is access to a computer and the internet.
DEL is the ideal collaborative environment for students (undergraduate and graduate) and faculty who would like to: (1) apply ready-to-use advanced analytical techniques to test specific hypotheses in cognition, neuroscience and epilepsy, and (2) develop and test new algorithms for analyzing EEG and other biological signals.
