Summary
Greg Chance is a Senior AI Assurance Consultant with nine years' experience bridging academic research and industrial product development to make autonomous and AI systems safer and more trustworthy. Based at Frazer-Nash and an Honorary Fellow at the University of Bristol, he leads AI assurance capability growth, trains practitioners, and acts as technical lead on safety-critical projects across rail, nuclear, healthcare and defence. His background spans a PhD in Physics, robotics research on human-robot interaction and deep learning for occlusion-aware vision, and hands-on engineering from embedded C++ databases to geospatial PostgreSQL/PostGIS pipelines used in autonomous vehicle verification. Greg combines publication and conference-facing thought leadership with practical prototype delivery (including game-based verification tools and agent-based test generation), and is comfortable presenting to technical and non-technical stakeholders alike. An unusual strength is his blend of theoretical verification methods and real-world deployment experience, giving him a pragmatic edge when turning assurance principles into testable, deployable artefacts.
9 years of coding experience
17 years of employment as a software developer
PhD, Physics, PhD, Physics at University of Bath
English, French