Magnus Høie
Senior ML Engineer at BioLib
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolMagnus Høie is a Senior ML Engineer and immunoinformatics scientist with eight years of experience applying machine learning to protein design and therapeutic antibody engineering. He holds a PhD from DTU and has led research projects across academic and industry labs—including Oxford, Novo Nordisk, and DTU—building and fine-tuning large protein language and inverse-folding models. A seasoned software developer proficient in Python and C/C++, he translates interdisciplinary biological problems into user-driven, production-ready ML solutions. His background in pharmacy and hands-on NGS pipeline development gives him practical domain insight that informs model priorities and validation strategies. Now at BioLib, he focuses on scaling ML tools for real-world protein design while maintaining close collaboration with experimentalists.
8 years of coding experience
2 years of employment as a software developer
Master of Science (Double-degree), Omics/Bioinformatics, Master of Science (Double-degree), Omics/Bioinformatics at University of Chinese Academy of SciencesMaster's Degree, Pharmaceutical Sciences, Master's Degree, Pharmaceutical Sciences at Københavns Universitet - University of CopenhagenBachelor of Pharmacy (BPharm), Pharmacy, Bachelor of Pharmacy (BPharm), Pharmacy at UiT- The Arctic University of NorwayTechnical University of Denmark
Norwegian, English, Danish, Chinese
Github Skills (20)
roamresearch10
folding9
ripgrep9
bash9
batcat9
bioinformatics9
obsidian9
protein-structure8
zsh8
vim8
fasttext8
seaborn8
fzf8
annotations7
statistics7
Programming languages (3)
Github contributions (5)
Magnushhoie/fuz
Nov 2022 - Feb 2023
Fuz is a blazingly fast text, file and folder search tool
Contributions:78 commits, 2 PRs, 172 pushes in 2 months
fasttextbash-scriptfzffzf-scriptsripgrep
Magnushhoie/DiscoTope-3.0
Jan 2023 - Apr 2026
Code for the DiscoTope-3.0 paper and model
Contributions:81 pushes, 1 branch in 3 years 3 months
b-cell-receptorepitopesepitopes-prediction
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