School of Medicine
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Neda Kaboodvand
Basic Life Res Scientist, Neurosurgery
Current Role at StanfordNeda Kaboodvand, PhD, is an Applied Research Scientist at Stanford University School of Medicine. Her research lies at the intersection of artificial intelligence, behavioral science, and clinical research, with a focus on using multimodal data to understand human behavior and improve clinical decision-making. She designs and leads experimental and observational studies and develops machine learning, statistical, and computational models to evaluate interventions, predict outcomes, and support personalized, adaptive approaches to care. A central part of her work involves modeling complex longitudinal and time-series data, including neural, electrophysiological, physiological, behavioral, imaging, and device-generated signals. By integrating these high-dimensional data sources, she develops models of patient and user state, identifies temporal patterns associated with outcomes and intervention response, and translates complex data into actionable insights for clinical and digital health systems.
