Summary
Dustin Burns is a data-driven consultant and scientist with 16 years’ experience applying statistics, AI, and software engineering to defense, cybersecurity, identity, and healthcare problems. With a PhD in physics and dual BS degrees in physics and applied math, he combines rigorous experimental thinking with hands‑on Python development, cloud integration, and data model design to deliver auditable, standards-aligned evaluations. At Exponent and now as a Technical Committee Member for ISO/IEC AI and an affiliate instructor at UMass Chan, he specializes in failure analysis, model forensics, and custom evaluation where off‑the‑shelf metrics fall short. Clients rely on him to debug misbehaving models, interpret sensor and log data, and validate smart‑card and secure identity systems against regulatory and testing standards. He also leverages expertise from experimental high‑energy and radiation physics to support sensor performance and radiation-safety expert witness work, blending deep domain knowledge with practical engineering.
16 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of California, Davis
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at Georgia Institute of Technology