About speaker

Frank Coyle, PhD, is a computer scientist and educator whose work bridges neuroscience, cognitive science, and artificial intelligence. His path into AI began in the neuroscience program at Emory University — dissecting brains alongside medical students and studying the neurophysiology of the visual system — before he turned to computer science, earning graduate degrees at Georgia Tech and a PhD from Southern Methodist University. That cross-disciplinary foundation shapes how he thinks about today’s AI: not as algorithms in isolation, but as architectures whose behavior, like the brain’s, emerges from structure. After 32 years as a professor at SMU, where he taught across nearly every corner of computer science, he retired to focus on the technologies reshaping the field.

He now teaches generative AI and large language models at the University of California, Berkeley, and holds a visiting professorship at the University of Bologna’s graduate school of business. He is also the founder of Edge AI (codesupreme.ai), where he develops courses and tools that help working developers build reliable, production-grade agentic systems. Known for making difficult technical ideas clear and memorable, Frank teaches audiences ranging from Berkeley graduate students to district attorneys and formerly incarcerated learners — and, most recently, the 250,000+ viewers of his AI Engineer World’s Fair talk on why agentic systems need ontologies.