Daniel Cerkoney
Graduate Research Assistant
United States
Summary
👤
Senior🎓
Top SchoolDaniel Cerkoney is a PhD-trained computational physicist transitioning into software engineering, bringing 11 years of quantitative research and over five years of hands-on development in Python, C++, and Julia. He co-led a six-person team to build FeynmanDiagram.jl, a computational graph engine that fuses ML architectures and optimization techniques with quantum field theory workflows, demonstrating skill in both high-performance computing and research-driven software design. At Rutgers he combined teaching and research roles, honing mentorship, reproducible workflow practices, and domain-specific tooling for complex scientific problems. Daniel seeks roles where his ability to translate advanced numerical methods into maintainable, data-driven code can accelerate engineering teams and scientific pipelines.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Physics & Mathematics, Bachelor of Science - BS, Physics & Mathematics at University of Central Florida
Github Skills (21)
markov-chain9
fiddle8
monte-carlo8
spectral8
quaternions8
graph7
interval-arithmetic7
julia7
intervals6
abaqus6
high-performance5
frequency5
parallel-computing5
numerical4
file-format4
Programming languages (3)
Github contributions (5)
dcerkoney/Misc
Apr 2015 - Oct 2019
Contributions:6 pushes, 1 branch in 4 years 6 months
houpc/UniElectronGas.jl
Aug 2023 - Nov 2024
Contributions:4 reviews, 36 pushes, 1 branch in 1 year 3 months
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