He has substantial training in advanced statistical methods and machine learning and has experience analyzing sensor-derived data from hand-pumps, latrines, and cookstoves employed in public health interventions in developing countries. He is currently the recipient of a fellowship from the John A Hartford Foundation to apply machine-learning and data mining techniques to the prediction of health and functional outcomes. Dr. Nagel's work with the SweetLab includes experimental design and data analysis of programs and studies deployed in developing countries.