Joey Kilgore
Graduate Research Assistant
Washington, District of Columbia, United States
Summary
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Senior🎓
Top SchoolJoey Kilgore is a PhD candidate and Graduate Research Assistant at The George Washington University with nine years of experience applying computational methods to neural engineering and biologically inspired AI. His research focuses on implementing biologically realistic learning algorithms for low-power hardware, bridging neuroscience-inspired models and practical embedded systems. Prior roles at Case Western Reserve involved running computational models of electrical nerve stimulation, and he built automated grading tools as a teaching assistant, reflecting a knack for tooling that scales. Proficient in Python, data visualization, and Git/GitHub workflows, he combines strong experimental rigor with software engineering discipline. Based in Washington, D.C., he brings an uncommon blend of hands-on modeling experience and systems-level thinking aimed at energy-efficient intelligence.
9 years of coding experience
Associate of Science - AS, Associate of Science - AS at Lorain County Community CollegeDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at The George Washington UniversityBachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at The University of Toledo
Github Skills (46)
modeling9
obsidian8
compilation7
tabletop7
discord-py6
discord6
discord-bot6
eclipse-ide6
internet5
parking5
predict4
r-package4
pair-programming4
python4
visual-studio3
Programming languages (12)
Github contributions (5)
joey-kilgore/kaccumulation
Mar 2020 - Jun 2021
Model of a STN axon with k+ accumulation. See Bellinger et. al. 2008
Contributions:1 release, 2 PRs, 29 pushes in 1 year 3 months
accumulationaxon
joey-kilgore/COVID-19-Data-Visualization
Sep 2020 - Feb 2022
Contributions:43 commits, 38 pushes, 1 branch in 1 year 5 months
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