Evan Voyles
Research Scientist
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolEvan Voyles is a research scientist and computational linguist based in Paris with five years of experience at the intersection of numerical linear algebra, Monte Carlo methods, and natural language processing. Trained with a Master of Engineering from Sorbonne Université, he brings a rigorous, research-driven approach to building numerical tools and probabilistic algorithms. As an active open-source contributor, he implemented and optimized a versatile linspace routine for the widely used fortran-lang/stdlib, extending support to complex and integer types and improving test coverage—evidence of his attention to numerical correctness and software quality. Comfortable in both research and engineering contexts, Evan blends mathematical depth with pragmatic coding practices to turn theory into reliable, reusable implementations.
5 years of coding experience
Master of Engineering, Master of Engineering at Sorbonne Université
Github Skills (9)
fortran10
complex-numbers10
numerical-methods10
linear-algebra10
testing9
integer-arithmetic9
stl9
data-structures8
data-structure8
Programming languages (7)
Github contributions (5)
fortran-lang/stdlib
May 2021 - Jul 2021
Fortran Standard Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:59 reviews, 92 commits, 1 PR in 1 month
Contributions summary:Evan implemented and refined the `linspace` function, a core mathematical utility for generating linearly spaced arrays. They added support for various data types, including complex numbers and integers, and optimized the function's behavior. Furthermore, they restructured the code by moving `linspace` from the `stdlib_stats` submodule to the `stdlib_math` submodule and improved testing procedures.
fortran-package-managerlapackstatisticshashstrings
ejovo13/libejovo
Sep 2021 - Dec 2022
Contributions:306 commits, 108 pushes, 11 branches in 1 year 3 months
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