Jutho Haegeman
Research Scientist
Ghent, East Flanders, Belgium
Summary
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RockstarJutho Haegeman is a research scientist and professor of physics based in Ghent with 12 years of experience at the intersection of tensor networks, quantum research, and scientific software. He is an active Julia enthusiast and contributor, having improved core linear algebra functionality in the flagship Julia language—work that included debugging eigenvalue routines and generalizing array operations used widely across numerical computing. His profile blends deep theoretical expertise with practical, production-grade coding skills, making him comfortable moving between research prototypes and robust computational libraries. Colleagues value his ability to translate complex quantum problems into efficient, well-documented Julia implementations that scale beyond academia. An often-overlooked strength is his attention to postprocessing and documentation details, which ensures reproducibility and usability for broader scientific audiences.
12 years of coding experience
Github Skills (11)
matrix-decomposition10
eigenvalue10
julia10
linear-algebra10
data-structure9
numerical-methods9
programming-language9
algorithm9
data-structures9
algorithms9
testing7
Programming languages (10)
Github contributions (5)
JuliaLang/julia
Sep 2013 - Aug 2018
The Julia Programming Language
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 56 commits, 30 PRs in 4 years 11 months
Contributions summary:Jutho contributed primarily to the `julia` programming language's linear algebra functionalities. Their work involved debugging and refining the `eigs` function, including fixes for input preprocessing, eigen vector postprocessing, and documentation. They also addressed issues in the `arpack.jl` file and updated related documentation. Furthermore, they worked on generalizing and improving core functionalities such as `cat`, `transpose!`, and `indexin`.
sciencejulia-languagemachine-learningjulialangpetsc
Jutho/KrylovKit.jl
Sep 2017 - Oct 2022
Krylov methods for linear problems, eigenvalues, singular values and matrix functions
Contributions:13 releases, 42 reviews, 204 commits in 5 years 2 months
eigenvaluessingularlinear-algebraproblemssingular-values
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