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Shishir Rao is a Senior Research Scientist at the University of Oxford's Medical Sciences Division, specializing in the application of Artificial Intelligence (AI) in healthcare. He completed his DPhil at the University of Oxford under Professor Kazem Rahimi's supervision, where he also attained a Master of Science in Computer Science. His academic journey began at New York University, where he obtained a dual bachelor's degree in Mathematics and Computer Science. Rao leads multiple AI-driven healthcare initiatives, focusing on perinatal risk assessment and the analysis of complex healthcare conditions such as musculoskeletal issues and heart failure. His research emphasizes the integration of Transformer-based deep learning architectures with multimodal electronic health records (EHR) to enhance medical data interpretation and improve patient care. Among his notable contributions is the development of the BEHRT model, a Transformer model for multimodal EHR. This work is underpinned by an interdisciplinary approach that aims to bridge advanced computational methods with practical clinical applications, ultimately striving for innovative AI solutions in medical risk prediction and decision support.
University of Oxford • Oxford, GB
Leading AI-driven healthcare initiatives and conducting research on the application of deep learning to medical risk prediction.
Department of Politics and International Relations - Higher Level English requirement.