Operational Unit
Machine Learning & Predictive Threat Analytics Unit
Computational Sciences & Applied AI Software Engineering
Unit Mandate
Mission & Operational Scope
Builds and operates machine learning models that predict emerging threats — from disease outbreak trajectories to wildfire ignition risk — providing the Foundation's operational directorates with forward-looking intelligence to pre-position resources.
Doctrine
NIH National Center for Advancing Translational Sciences ML Standards · IEEE AI Ethics Guidelines
Core Capabilities
Operational Capabilities
Supervised and unsupervised ML model development for threat classification
Time-series forecasting for epidemic, climate, and conflict risk modeling
Anomaly detection in sensor networks and environmental monitoring streams
Feature engineering from heterogeneous data sources (satellite, epidemiological, social)
Model validation, uncertainty quantification, and explainability frameworks
Continuous model retraining pipelines for operational deployment
Division I
Computational Sciences & Applied AI Software Engineering