Magnus 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.
7 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 Sciences
Master's Degree, Pharmaceutical Sciences, Master's Degree, Pharmaceutical Sciences at Københavns Universitet - University of Copenhagen
Bachelor of Pharmacy (BPharm), Pharmacy, Bachelor of Pharmacy (BPharm), Pharmacy at UiT- The Arctic University of Norway
Contributions:233 commits, 236 pushes in 2 years 8 months
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