Stanford University
Showing 401-450 of 1,688 Results
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Ravonjiarison Solofo Nasandratra Avisoa
Fellow, CASBS
Affiliate, CASBS Fellows' ProgramBioMy current research advances an innovative approach that integrates scientific and Indigenous knowledge to co-construct solutions for enhanced productivity and sustainability. Using participatory methods, I aim to develop a shared knowledge base through surveys, co-design workshops, and collaborative engagement, bridging scientific understanding with farmers’ experiential insights to promote practices that are both productive and environmentally sustainable.
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Kelly Ray, NP
Clinical Instructor (Affiliated), School of Medicine - Senior Associate Dean for Medical Student Education
BioKelly Ray, NP, is board certified as a Family Nurse Practitioner and an Emergency Nurse Practitioner. Kelly completed her nurse practitioner training at Georgetown University, and worked in primary care and corporate health before joining Stanford in 2016. She particularly enjoys helping patients with acute medical needs, and maintains clinical interest in wilderness and travel medicine.
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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. -
vasili razhnou
Affiliate, Graduate School of Business - Executive Education
BioVasili Razhnou is the Founder and CEO of MEDvidi, a healthcare technology company focused on transforming access to mental health care through AI-powered clinical infrastructure. Under his leadership, MEDvidi has scaled into a multi-million-dollar telehealth platform serving patients across the United States, with a strong focus on operational excellence, provider enablement, and applied artificial intelligence in healthcare delivery.
Vasili’s work centers on building AI infrastructure that augments clinicians rather than replaces them. At MEDvidi, he has led the development of a suite of AI systems designed to improve clinical quality, reduce administrative burden, and increase healthcare accessibility. These include real-time AI-assisted chart generation, automated clinical protocol review systems, intelligent patient support agents, and emerging AI prescribing workflows designed with rigorous safety and compliance guardrails.
His approach combines large-scale healthcare operations with practical AI implementation, emphasizing human-in-the-loop systems, clinical reliability, and measurable patient outcomes. Vasili is particularly interested in how AI can modernize healthcare infrastructure by streamlining workflows, improving care consistency, and enabling providers to spend more time focused on patients instead of documentation and administrative tasks.
Prior to MEDvidi, Vasili worked in technology and growth-focused startups, bringing experience in scaling digital platforms, performance marketing, and operational systems. He is passionate about the intersection of AI, healthcare delivery, and behavioral health innovation, and frequently explores how emerging AI architectures can be responsibly deployed in regulated clinical environments.
