James Glasbrenner

Principal Artificial Intelligence Engineer at MITRE

Virginia, United States
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Summary

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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.
code11 years of coding experience
job16 years of employment as a software developer
bookB.S., Physics, 3.8, B.S., Physics, 3.8 at Lebanon Valley College
bookPh.D, Physics, 3.872, Ph.D, Physics, 3.872 at University of Nebraska-Lincoln
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Stackoverflow

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Github Skills (53)

observation10
operation10
metadata10
scheduler10
airbyte9
data-science9
data-collection9
dagster9
analytics9
python9
mlops9
workflow-automation9
etl9
orchestration9
data-integration8

Programming languages (9)

CSSRC++MakefileGoHTMLVim scriptJupyter Notebook

Github contributions (5)

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Supplemental textbook for the CDS 101 course at George Mason University.
Contributions:4 PRs, 25 pushes, 6 branches in 2 years 5 months
georgecdstextbookmasongeorge-mason-university
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