Marc Jäger
Data Engineer
Espoo, Finland
Summary
👤
Senior🎓
Top SchoolMarc Jäger is a data engineer and computational materials scientist with nine years of experience bridging chemistry, physics and production-grade data systems. He holds a PhD in Physics from Aalto University where he focused on computational chemistry, heterogeneous nanocatalysis and automated workflows for large datasets. After applying machine learning and data analysis in academia, he moved into industry roles as a data scientist and now a data engineer at UPM Energy, turning research-grade pipelines into scalable energy-focused solutions. His work centers on energy storage and hydrogen-relevant catalysis, combining domain expertise with practical skills in automation and reproducible computation. Based in Espoo, he blends hands-on programming and ML with an uncommon depth in nanoscale catalysis theory, enabling data-driven decisions in materials and energy applications.
9 years of coding experience
2 years of employment as a software developer
Master of Science (M.Sc.), Chemistry, Master of Science (M.Sc.), Chemistry at The University of FreiburgDoctor of Science (Technology), Physics, Doctor of Science (Technology), Physics at Aalto UniversityEIT RawMaterials Academy
English, German, Portuguese, French, Finnish, Italian
Github Skills (29)
python-interface10
molecular-simulation9
python9
lammps8
machine-learning8
computational-science8
csc7
soap7
chemistry6
quantum-computing5
physics5
openmp5
fortran5
dft4
hpc4
Programming languages (2)
Github contributions (5)
SINGROUP/cluskit
Jun 2018 - Aug 2019
Contributions:76 commits, 30 pushes, 1 comment in 1 year 2 months
SINGROUP/critcatworks
Jul 2018 - May 2020
Workflow manager for DFT simulations on nanocluster databases using Fireworks
Contributions:4 PRs, 134 pushes, 3 branches in 1 year 10 months
simulationsdatabasesfireworksdftworkflow
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