James K
NGFP Fellow at Pacific Northwest National Laboratory
Albuquerque, New Mexico, United States
Summary
👤
Senior🎓
Top SchoolJames K is a nuclear engineer and NGFP Fellow based in Albuquerque with 13 years of technical experience and an MS in Nuclear Engineering from the University of Florida. He blends reactor physics and simulation expertise—MCNP, CASMO, SolidWorks—with practical coding skills in Python and MATLAB to drive modeling and analysis. As a contributor to the Julia LightGraphs project he implemented optimized graph algorithms and core data-structure changes, illustrating a strong foundation in algorithm design beyond typical nuclear workflows. At Pacific Northwest National Laboratory he applies that cross-disciplinary toolkit to research challenges that require both simulation fidelity and computational efficiency. Colleagues describe him as someone who moves fluidly between detailed simulation work and algorithmic implementation, making complex systems more tractable. He brings a measured, research-driven approach to engineering problems, often combining open-source practices with domain-specific modeling.
13 years of coding experience
Master of Science - MS, Nuclear Engineering, Master of Science - MS, Nuclear Engineering at University of Florida
Github Skills (7)
data-structures10
graph-algorithms10
data-structure10
julia10
testing10
algorithms9
algorithm9
Programming languages (20)
Github contributions (5)
sbromberger/LightGraphs.jl
Mar 2015 - Oct 2021
An optimized graphs package for the Julia programming language
Role in this project:
Back-end Developer & Algorithm Implementer
Back-end Developer & Algorithm ImplementerContributions:1 release, 110 commits, 115 PRs in 6 years 8 months
Contributions summary:James significantly contributed to the core functionality of the `lightgraphs.jl` project, an optimized graphs package for the Julia programming language. They implemented features such as induced subgraphs and optimized existing algorithms. The user's work involved modifying core graph data structures and adding tests to ensure the correctness of their implemented algorithms. Their contributions show a strong understanding of graph theory and optimization techniques in the context of the Julia language.
graphsoptimizedjulia-programming-languagegraph-drawinggraph
AlgebraicJulia/SyntacticModels.jl
Aug 2023 - Sep 2024
Specifying models with syntax trees
Contributions:12 reviews, 18 PRs, 40 pushes in 1 year 1 month
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