Tue Boesen
Computer Vision Engineer at Alexandra Instituttet
Aarhus, Central Denmark Region
Summary
👤
Senior🎓
Top SchoolTue Boesen is a computer vision engineer and machine learning scientist with nine years of experience bridging academic research and production-grade ML systems, now designing segmentation and 3D deep vision solutions for CT and biomedical imaging. He holds a PhD in Geoscience and a background in theoretical and mathematical physics, which underpin his specialization in physics-informed and equivariant graph neural networks. His work ranges from deploying large-scale training on AWS to building MLops platforms and parallel protein-design frameworks, demonstrating fluency from research prototypes to scalable production code. Notable contributions include reversible mimetic GNNs, semi-supervised active learning with theoretical guarantees, and applied graph-based methods for seismic and biomolecular systems. Colleagues rely on him for principled models that honor physical constraints and for pragmatic engineering that ships.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Geoscience, Doctor of Philosophy - PhD, Geoscience at Aarhus Universitet
Danish, English
Github Skills (194)
python10
deep-learning10
gpu10
genomics10
numpy10
neural-network10
dvc10
sequence-alignment10
lifecycle10
machine-learning10
phylogenetics10
bioinformatics10
vpn9
mlflow9
cvs9
Programming languages (12)
Github contributions (5)
tueboesen/multi-body-pendulum
Jun 2022 - Feb 2024
A module for simulating multi-body pendulums
Contributions:5 releases, 1 PR, 25 pushes in 1 year 8 months
multi-body-dynamicspendulum-simulation
eldadHaber/Pfold
Sep 2020 - Apr 2021
Contributions:150 pushes, 13 branches in 7 months
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