We are seeking applications for a Postdoctoral Research Fellowship in Artificial Intelligence (AI) with a focus on Reinforcement Learning, particularly in applications to electronic health records (EHR) and clinical care. This fellowship will be jointly hosted by the Charles Bronfman Institute for Personalized Medicine and the Division of Data Driven and Digital Medicine at the Icahn School of Medicine at Mount Sinai in New York, NY.

Our institutions are dedicated to advancing precision medicine through cutting-edge AI techniques. Key research areas of interest include, but are not limited to: multimodal data integration, deep learning for disease outcome prediction and personalized treatment recommendations, causal machine learning and reinforcement learning for data-driven management strategies, AI-powered clinical decision support systems, and converting real-world data into actionable evidence for regulatory purposes. We are particularly focused on applications in critical care medicine, including fields such as critical care nephrology, cardiology, and nutrition.

Dr. Ankit Sakhuja and Dr Girish Nadkarni will jointly supervise the successful candidate. The candidate will have the opportunity to work with unparalleled data and computational resources. Data resources include (a) Access to >10 million patient records in the Mount Sinai Data Warehouse with multi-modal data; (b) The Mount Sinai Million health Discoveries Program with >100,000 patients with whole exome sequencing data linked to longitudinal clinical data; (c) Ability to deploy the models into clinical care.. H...