Abstract: The United States Military Academy (USMA) AI Data Engineering and ML (AIDE-ML) Center will implement computational and data science approaches and tools to advance nutrition for precision health in a way that accounts for the complex systems involved, in support of the NIH Nutrition for Precision Health, powered by the All of Us Research Program (NPH). 
 
The USMA AIDE-ML will develop and utilize The Data Distiller for Precision Nutrition, a set of approaches and tools that can collapse and distill nutrition-relevant data to create datasets that are AI-ready and ready for a range of other analyses. Additionally, the funded Data Systems Core (DSC) of the USMA AIDE-ML will leverage the substantial computing resources of West Point and the Department of Defense to create a flexible cloud-based architecture for data flow and a collaborative workspace, while the Computational Systems Core (CSC) will provide resources and personnel to support the DSC and tool development/deployment. Some work will be done in collaboration with the Artificial Intelligence, Modeling, and Informatics, for Nutrition Guidance and Systems (AIMINGS) Center at the City University of New York (CUNY) – also an NPH Consortium awardee.