Robert (AJ) Overton is a statistician/programmer in the Center for Predictive Medicine at the Duke Clinical Research Institute. He also serves as a data scientist with the Crucible and lecturer of statistical programming in the Department of Biostatistics and Bioinformatics. His primary research interest are in the integration of multi-modal biomedical data for analysis of patient outcomes and care delivery. He is currently leading the multi-omic analyses for diagnosis, staging, progression, and outcomes of patients with IPF; streamlining the “Deep Care Management” platform for predicting unplanned hospital admissions and mortality; and co-leading the development of Duke’s AI Health Fellowship program, among other efforts. Prior to joining Duke, AJ worked as a technical consultant developing computational models to evaluate the public health risks associated with air toxics and as a director of international development living in Uganda. AJ completed a Masters of Applied Statistics at Penn State.