Stanford University
Showing 26,501-26,520 of 37,036 Results
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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. -
Christopher Re
Professor of Computer Science
Current Research and Scholarly InterestsAlgorithms, systems, and theory for the next generation of data processing and data analytics systems.
