About
Jonathan D. Stallings is an applied statistician and data scientist working at the intersection of trauma systems, clinical analytics, real-world evidence, and AI-enabled decision support.
His career spans military medicine, federal health research, and academic clinical science. He has led statistical programming and data science efforts for DoD-funded trauma research, FDA-cleared AI medical devices, and large-scale observational studies in emergency and critical care medicine.
His methodological focus includes Bayesian workflows, causal inference, missing data, survival analysis, rare event modeling, and reproducible reporting โ primarily in R and Python. He has particular expertise in trauma registry analytics, OMOP interoperability, and the statistical infrastructure needed for clinical decision support at scale.