Samuel Addington is a computer science and cybersecurity professor in Southern California with teaching appointments across community college and university programs. His work focuses on secure AI adoption in real-world operations, with emphasis on agentic systems, world models/digital twins, and practical governance patterns that reduce risk while enabling measurable productivity gains. He designs hands-on labs and applied curricula that bridge software engineering, cybersecurity, and emerging AI capabilities for diverse learners, and he consults on translating AI research into deployable, auditable workflows for resource-constrained teams.