Reinforcement Learning Engineer at University of Dayton Research Institute
Kent, Ohio, United States
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Summary
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Senior
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Nathaniel Hamilton is a reinforcement learning engineer and AI scientist with nine years of experience applying safe and robust ML to autonomous cyber-physical systems in air and space domains. He earned a PhD from Vanderbilt funded by an NDSEG Fellowship for research on safety and robustness in reinforcement learning and has continued that work at Parallax Advanced Research and the Air Force Research Lab. Nathaniel bridges theory and practice: he designs experiments, implements controllers, analyzes data, and turns results into proposals and publications. His background includes multiple internships focused on run-time assurance, opposition-based learning, and transfer in deep RL, signaling a knack for combining novel algorithms with safety guarantees. Based in Kent, Ohio, he now contributes to autonomy research at the University of Dayton Research Institute, bringing both defense-focused rigor and hands-on systems development to complex robotics problems.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Vanderbilt University
Bachelor of Science (B.S.), Electrical and Computer Engineering, 3.976, Bachelor of Science (B.S.), Electrical and Computer Engineering, 3.976 at Lipscomb University
Contributions:24 commits, 2 PRs, 22 pushes in 11 months
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Nathaniel Hamilton - Reinforcement Learning Engineer at University of Dayton Research Institute