Assistant Professor Emerging Scholar of Computer Engineering
Affiliation: NYU Abu Dhabi
Education: DPhil University of Oxford
Research Areas: Machine Learning in Healthcare; Data Analytics; Artificial Intelligence
Farah Shamout completed her doctoral studies in Engineering Science at the University of Oxford as a Rhodes Scholar. Her research focused on developing early warning models to predict in-hospital clinical deterioration. She received her Bachelor of Science cum laude in Computer Engineering from New York University Abu Dhabi.
Her current research interests include developing machine learning models to inform decision-making in healthcare, representation learning for large-scale multi-modal data, interpretability, and fairness and ethics of AI. While at Oxford, Shamout taught with the inaugural UAE-Oxford Artificial Intelligence Program and worked on global data commons and digital health policy.