Lauri Himanen
Technical Coordinator
Mäntyharju, South Savo, Finland
Summary
👤
Senior🎓
Top SchoolLauri Himanen is a technical coordinator and senior full-stack engineer with 12 years of experience bridging physics research and production software, currently leading technical efforts at FAIRmat. He holds a PhD in Materials Informatics from Aalto University and has applied machine learning to materials science projects like the widely referenced MEGNet graph-network framework. Lauri blends hands-on engineering—contributions range from Keras integration to scalable platform work on NOMAD—with a strong research pedigree from Max Planck and Aalto, enabling him to translate complex scientific models into reliable software. Based in rural Finland, he balances a rigorous technical career with creative hardware and game projects (Arduino, Raspberry Pi, Godot) and the practical discipline of raising four children.
12 years of coding experience
1 year of employment as a software developer
Doctor of Science, Engineering Physics, Doctor of Science, Engineering Physics at Aalto University
Finnish, English
Github Skills (10)
model-building10
keras10
machine-learning10
deep-learning10
tensorflow10
python10
modeling10
model-driven10
model-driven-development10
documentation7
Programming languages (12)
Github contributions (5)
materialsvirtuallab/megnet
Jul 2019 - Jul 2019
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Role in this project:
ML Engineer
ML EngineerContributions:5 commits, 2 PRs in 6 days
Contributions summary:Lauri contributed to the MEGNet model implementation, adding features and refining existing functionalities. They enabled the use of target scalers within the MEGNet model, allowing for better handling of target variable scaling. Additionally, the user introduced the ability to define Keras metrics directly through the MEGNet class constructor, enhancing flexibility in model evaluation. Several code changes focused on clarifying and updating documentation within the model.
moleculesgraph-networksdeep-learningcrystalsmachine-learning
nomad-coe/materia
Jul 2020 - Nov 2022
Contributions:1 release, 95 commits, 2 PRs in 2 years 4 months
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