Christian Legaard
Machine Learning Engineer at Aarhus University
Aarhus, Central Denmark Region
Summary
👤
Senior🎓
Top SchoolChristian Legaard is a machine learning engineer with a decade of experience marrying scientific modeling and ML to accelerate and integrate physics-based simulations. He earned a PhD focused on neural ODEs and physics-informed networks and built tooling to embed Python-based data-driven models into FMI-compliant industrial simulators, enabling safer digital-twin and systems engineering workflows. His research spans constrained optimization frameworks (contributing to PyTorch-based neuromancer interoperability) and reduced-order modeling for PDE-driven systems, with collaborative visits to PNNL and École Centrale de Nantes. Based in Aarhus, he combines rigorous mathematical grounding with hands-on software design and teaching experience, and—less expectedly—spent 18 months post-PhD traveling the world pursuing wildlife and underwater photography, scuba diving and climbing.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Software Engineering, Doctor of Philosophy - PhD, Computer Software Engineering at Aarhus UniversityGymnasieeksamen, Bioteknologi(A), Matematik(A), Fysik(B), Gymnasieeksamen, Bioteknologi(A), Matematik(A), Fysik(B) at Århus StatsgymnasiumBachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Aarhus Universitet
Stackoverflow
1reputation
0reached
0answers
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Github Skills (68)
python10
mechanism10
physics-informed-neural-networks10
simulation10
testing9
ffi9
nonlinear-dynamics9
constrained-optimization9
dynamical-systems9
partial-differential-equations9
ordinary-differential-equations9
data-munging9
cps9
binding9
nonlinear-optimization9
Programming languages (10)
Github contributions (5)
INTO-CPS-Association/pyfmu
Nov 2019 - Dec 2020
Contributions:3 releases, 446 commits, 36 PRs in 1 year
fmi-supportpythonfmufunctional-mocksimulation
clegaard/deep_learning_for_dynamical_systems
Aug 2021 - Nov 2022
Contributions:22 commits, 3 pushes in 1 year 3 months
deep-learningdynamical-systemsnumerical-simulationordinary-differential-equationspartial-differential-equations
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