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Mozziyar Etemadi is an Assistant Professor at Northwestern University with dual appointments in the McCormick School of Engineering and the Feinberg School of Medicine. His research interests lie at the intersection of artificial intelligence, healthcare analytics, and biomedical engineering. Etemadi focuses on developing and implementing innovative machine learning algorithms aimed at enhancing healthcare workflows, particularly in critical care settings. His work involves creating prediction models using wearable sensors that monitor physiological conditions in real-time, contributing to non-invasive assessments of patients' health. Etemadi's research team collaborates closely with nurses and physicians in intensive care units, ensuring that the technologies developed are practical and address real-time clinical challenges. His contributions to the field have been recognized by prestigious outlets, including being named one of Forbes’ “30 Under 30” Scientists. Etemadi's background includes significant training in electrical engineering and medicine, having spent over a decade in the San Francisco Bay Area before returning to Chicago to work with Northwestern Medicine. His team's innovative AI algorithms have shown promise in improving patient outcomes, particularly in cancer diagnosis.
Northwestern University • Evanston, IL
Contributing to innovative research in artificial intelligence and healthcare applications.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.