Sari D
Scientific Software Developer at Hafnium Labs
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolSari D is a Scientific Software Developer based in Copenhagen with a decade of experience bridging physics research and production-grade code. Trained as a physicist with a master’s in nanoscience, she transitioned from a PhD at the Niels Bohr Institute into scientific software roles and now develops core tooling at Hafnium Labs. Her work blends mathematical modelling and deep language internals — she has contributed bug fixes and new methods to Julia’s core LinearAlgebra and Regex modules, touching one of the most prominent open-source language projects. Comfortable across numerical linear algebra and regex semantics, she brings rare hands-on experience modifying fundamental array and matrix operations while preserving type correctness. Known for turning rigorous academic problems into robust, maintainable code, she excels at improving correctness and performance in low-level scientific libraries.
10 years of coding experience
Master’s Degree, Nanoscience and Technology, Master’s Degree, Nanoscience and Technology at Sino-Danish Center For Education And ResearchBachelor’s Degree, Physics, Bachelor’s Degree, Physics at Københavns Universitet
Stackoverflow
616reputation
170kreached
13answers
2questions
Github Skills (21)
programming-language10
regex10
language-design10
numerical-methods10
linear-algebra10
julia10
data-structure9
algorithm9
algorithms9
data-structures9
scientific-computing8
testing8
hpc7
haskell6
functional-programming6
Programming languages (5)
Github contributions (5)
JuliaLang/julia
Oct 2018 - Jun 2020
The Julia Programming Language
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 5 commits, 34 PRs in 1 year 7 months
Contributions summary:Sari primarily contributed to the `julia` programming language's core functionality, focusing on the `LinearAlgebra` and `Regex` modules. Their commits addressed bug fixes related to incorrect usage of `iszero` in linear algebra functions, ensured type preservation during matrix operations, and enabled improved functionality for `startswith` and `endswith` regex operations. Furthermore, the user added and refined `ldiv!` and `rdiv!` methods to arrays and matrices with numbers and `UniformScaling` demonstrating significant familiarity with core language internals.
sciencejulia-languagemachine-learningjulialangpetsc
dalum/Purses.jl
Jul 2020 - Aug 2020
Contributions:34 commits, 43 pushes, 2 branches in 1 month
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