Data Architecture & Pipelines: Design and build scalable data architectures and pipelines that power digital twin, analytics, and modeling initiatives; architect ingestion, integration, transformation, storage, and access across structured and unstructured sources; integrate operational, clinical, resource, scheduling, and logistics data on cloud-based platforms using modern data engineering practices. Digital Twin Development: Lead data and model development for a digital twin of the OR environment that represents physical and operational processes through data and computational models; partner with DHA and MHS stakeholders to map workflows, resources, constraints, and dependencies; translate real-world OR workflows into data models, process models, and simulation models.