Bjoern Baumeier

Associate Professor

Eindhoven, North Brabant, Netherlands
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Summary

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Senior
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Top School
Bjoern Baumeier is an associate professor and computational scientist with a decade of experience developing multiscale simulation methods that bridge quantum chemistry, molecular dynamics, and machine learning for problems in energy, materials, and soft matter. He leads methodological work adapting Many-Body Green’s Functions Theory (GW-BSE) for molecular systems and integrates these approaches into the open-source XTP module of the VOTCA package for high-performance hybrid quantum-classical simulations. His research emphasizes charge and energy transfer in soft materials and spans scales from all-atom to super-coarse-grained models, with applications ranging from organic electronics to biomolecular assemblies. With roots in theoretical solid-state science (PhD Münster) and stints at Max Planck and US research centers, he combines deep theory, software engineering, and open-source stewardship to push computational tools toward real-world energy and nanodevice challenges. An understated strength is his track record of translating advanced many-body theory into practical, scalable code used by the community.
code11 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy (PhD), Theoretical Solid State Science, Doctor of Philosophy (PhD), Theoretical Solid State Science at Westfälische Wilhelms-Universität Münster / University of Muenster
languagesGerman, English
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Github Skills (19)

quantum-chemistry10
computational-physics10
computational-chemistry10
csg10
kebab-case9
ord8
transport7
data-format7
build-environment6
julia5
journal4
python4
optimization4
creative-commons3
open-access3

Programming languages (4)

ShellC++HTMLPython

Github contributions (5)

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Baumeier Research Group
Contributions:85 pushes in 3 years 3 months
research-group
votca/PyVOTCA

Jan 2021 - Nov 2021

Generic tools to interact with Votca using Python
Contributions:15 reviews, 13 PRs, 75 pushes in 9 months
python
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