Stefan Jeske is a PhD student at RWTH Aachen with a decade of experience at the intersection of computational engineering and software tooling. Trained in Computational Engineering Science (BSc/MSc, RWTH) with a research stint at the University of Tokyo, he applies rigorous numerical methods to practical simulation problems. He has a hands-on systems focus, improving build stability and CI/CD for open-source physically based fluid simulation (SPlisHSPlasH), broadening platform and Python-version support. Based in Aachen, he blends academic research with DevOps engineering to make complex simulation codebases more reproducible and maintainable. Colleagues describe him as detail-oriented and pragmatic, equally comfortable in research experiments and production build pipelines.
10 years of coding experience
University of Tokyo
Master of Science - MS, Computational Engineering Science, 1,1, Master of Science - MS, Computational Engineering Science, 1,1 at RWTH Aachen University
SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.
Role in this project:
DevOps Engineer & Build Engineer
Contributions:7 reviews, 36 commits, 9 PRs in 2 years 3 months
Contributions summary:Stefan primarily focused on improving the build process and CI/CD pipeline for the project. Their contributions included fixing CI issues, updating build scripts, and integrating Read the Docs (RTD) for documentation generation. Additionally, the user worked on setting up and configuring the build environment to support different Python versions and architectures, as evidenced by the changes to the setup files and CI configuration. This work resulted in better build stability and broader platform support.
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Stefan Jeske - PhD Student at RWTH Aachen University