Stanford University
Showing 1-3 of 3 Results
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David Eagleman
Adjunct Professor, Psych/Public Mental Health & Population Sciences
BioDavid Eagleman is a neuroscientist, bestselling author, and Guggenheim Fellow. Dr. Eagleman’s areas of research include sensory substitution, time perception, vision, and synesthesia. He also studies the intersection of neuroscience with the legal system, and in that capacity he directs the non-profit Center for Science and Law. Eagleman is the writer and presenter of The Brain, an Emmy-nominated television series on PBS and BBC. He is the author of 8 books, including Livewired, The Runaway Species, The Brain, Incognito, and Wednesday is Indigo Blue. He is also the author of a widely adopted textbook on cognitive neuroscience, Brain and Behavior. His internationally bestselling book of literary fiction, SUM, has been translated into 32 languages, turned into two operas, and named a Best Book of the Year by Barnes and Noble. Dr. Eagleman has been a TED speaker, a guest on the Colbert Report, and profiled in the New Yorker magazine. He has launched several neuroscience companies from his research, including Neosensory and BrainCheck.
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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.
