Lynn Reggia

About Me

Lynn Reggia is the supervisor of the Human Machine Engineering Group within JHU/APL’s Air and Missile Defense Sector.

Education & Industry Experience

Reggia received dual bachelor’s degrees in computer science and piano performance from the University of Maryland and then pursued her MS in human systems engineering from Johns Hopkins University, while she also led several modeling, simulation, and analysis efforts at JHU/APL for the U.S. Navy. Reggia’s primary interest was creating systems and capabilities with a focus on human-centered design. She helped establish and now leads a team that provides technical leadership and strategic direction in these competencies to the JHU/APL AMD Sector and Mission Area.

Contact Lynn Reggia at [email protected].


Human head with a luminous brain network. Digital brain, Analysis information, Cyber mind, Deep and Machine learning, Consciousness, Artificial intelligence, Technology background concept.

Assurance of AI Enabled Systems

This workshop introduces state-of-the-art methods for developing testing and evaluation plans for AI-driven systems and addresses novel challenges these systems present.

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