Evangelos Voyiatzis

Project Manager at European Commission

Limburg, Belgium
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Summary

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Rockstar
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Top School
Evangelos Voyiatzis is a project manager and computational materials scientist with a PhD and over a decade of experience translating molecular-scale insights into industrial process improvements. He combines deep expertise in particle-based and continuum multi-physics simulations with hands-on development—contributing core numerical features to the widely used LAMMPS molecular dynamics code—to tackle polymer, interfacial, and processing challenges. His career spans academia and industry (DSM, TU Darmstadt, EC), where he built open-source tools, led academic collaborations, and advanced data-driven models for polymer properties and film production. Known for bridging theory and practice, he applies computational methods not just to explain material behavior but to inform digitalization and process optimization in real-world manufacturing.
code10 years of coding experience
job16 years of employment as a software developer
bookPhD in Chemical Engineering, PhD in Chemical Engineering at National Technical University of Athens
languagesEnglish, German, Greek
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Github Skills (11)

simulations10
lammps10
simulation10
c-language10
molecular-dynamics-simulation10
physics10
cprogramming-language10
numerical-methods10
molecular-simulation10
simulator10
nonlinear-dynamics10

Programming languages (4)

C++TeXPythonFortran

Github contributions (5)

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lammps/lammps

Feb 2018 - Dec 2022

Public development project of the LAMMPS MD software package
Role in this project:
userBack-end Developer
Contributions:13 reviews, 130 commits, 65 PRs in 4 years 10 months
Contributions summary:Evangelos made numerous updates to the LAMMPS MD software package, primarily focusing on enhancing its core functionality and numerical methods. Their contributions involved modifications to various header and source files within the CLASS2 directory, and USER-FEP directory, indicating a focus on improving the handling of force-field-related calculations and potential energy calculations. The user also implemented new features such as the "mixing rule" for the lambda parameter and adding files related to soft lj/class2 potentials. This suggests a role in extending the code's capabilities and addressing specific physics models.
lammpsmolecular-dynamicssimulationkokkos
Contributions:7 PRs, 62 pushes, 2 branches in 4 years 7 months
quasientropypythonparticleapproach
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Evangelos Voyiatzis - Project Manager at European Commission