Principal Artificial Intelligence Engineer at MITRE
Virginia, United States
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James Glasbrenner is a Principal Artificial Intelligence Engineer at MITRE with 11 years of experience bridging computational condensed-matter physics and applied AI. Trained as a PhD physicist, he developed deep expertise in density functional theory to study magnetism, spintronics, and iron-based superconductivity, then translated that rigorous modeling mindset into leading AI and data science teams. At MITRE he progressed from senior data scientist to principal AI engineer, bringing domain-first problem solving and publication-grade rigor to applied ML programs. He combines academic pedigree—including postdoctoral research at the Naval Research Laboratory and an assistant professorship—with practical systems delivery in government research settings. Colleagues describe him as someone who turns complex theoretical techniques into usable tools for materials discovery and decision-quality AI.
11 years of coding experience
16 years of employment as a software developer
B.S., Physics, 3.8, B.S., Physics, 3.8 at Lebanon Valley College
Ph.D, Physics, 3.872, Ph.D, Physics, 3.872 at University of Nebraska-Lincoln
Course materials for CDS 101: Introduction to Computational and Data Sciences, offered at George Mason University
Contributions:62 PRs, 114 pushes, 68 branches in 3 years 5 months
georgecdssciencesmasoncomputational
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James Glasbrenner - Principal Artificial Intelligence Engineer at MITRE