Angie Murphy-Johnson, PhD

Angie advises on the firm’s machine-learning engineering and agentic orchestration. She has led R&D and engineering teams at General Electric and Danaher, and her work centers on enterprise deep-learning systems, multi-agent orchestration on Azure and Amazon Bedrock, and the data-interoperability plumbing that lets models read real systems instead of bespoke exports. She spent years on HL7 working groups on data portability and interoperability standards.

Twenty-five years span robotics, engines and energy systems, health-data infrastructure, and enterprise SaaS. She holds an MS in Engineering, a PhD in Communications, and a Johns Hopkins certification in Agentic AI.