Aidan Nyquist

Uppsala, Sweden
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Summary

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Aidan Nyquist is a software developer with nine years of experience blending scientific research and corporate engineering, currently based in Uppsala, Sweden. He pairs a strong mathematics background (BSc) and an ongoing Master's in Theoretical Physics with hands-on work in computational physics and numerical software, including contributions to the Coalton functional language's arithmetic and complex-number libraries. His track record spans internships at research labs, student research in Rome, and freelance development, demonstrating adaptability across frameworks and domains. Skilled in technical writing and familiar with funding and nonprofit management, he thrives in collaborative team and user-support roles. Notably, his open-source work shows a depth in numerical correctness and type-driven design that complements his research-focused problem-solving.
code10 years of coding experience
job5 years of employment as a software developer
bookBachelor's degree, Mathematics, Bachelor's degree, Mathematics at North Park University
bookMaster's degree, Theoretical Physics, Master's degree, Theoretical Physics at Uppsala University
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66reputation
5kreached
1answer
1question
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Github Skills (12)

mathematics10
functional-programming10
complex-numbers10
type-safety10
common-lisp10
owin6
asp-net6
anaconda6
asp-net-core6
python6
emacs6
spacemacs6

Programming languages (8)

TypeScriptSchemeCCommon LispHaskellHTMLEmacs LispPython

Github contributions (5)

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coalton-lang/coalton

Feb 2022 - Jul 2022

Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
Role in this project:
userBack-end Developer
Contributions:24 reviews, 19 commits, 28 PRs in 5 months
Contributions summary:Aidan primarily contributed to the development and maintenance of the Coalton language's arithmetic and complex number libraries. Their commits focused on fixing bugs related to mathematical operations such as subtraction and division for complex numbers and fractions, sign corrections, and comparison functionalities. Furthermore, the user introduced an integral class and expanded the float interface, demonstrating a strong understanding of numerical computation within the Coalton ecosystem.
common-lispfunctional-programming-languagefunctional-programmingtype-safety
Contributions:13 PRs, 76 pushes, 8 branches in 1 year 6 months
simple-neural-networkpythonsimulationneural-networknetwork-simulation
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