Summary
Eric Scott is Chief Scientist for Robotics and Autonomous Systems at MITRE with 14 years of experience blending rigorous research and production software engineering. He specializes in evolutionary algorithms, scalable ML and mathematical foundations, and has led multimillion-dollar projects and teams while securing significant internal R&D awards. His PhD work produced influential theoretical results on parallelization and transfer for evolutionary methods, and he has taken those ideas into practice—from SSRL-pretrained vision models for off-road autonomy to foundation models for 25M patient health records. Comfortable moving between proofs and production, he’s also delivered tooling and frameworks (e.g., LEAP contributions and ECJ maintenance) that bridge academia, NASA/JPL, and government sponsors. Based in Virginia, he combines a mathematician’s rigor with an engineer’s pragmatism, often turning abstract complexity-science ideas into deployable autonomous systems.
14 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at George Mason University
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Andrews University