Simon Rothmeier
Senior Data Scientist
Wiesbaden, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolSimon Rothmeier is a Senior Data Scientist based in Wiesbaden with 11 years of experience turning complex data into actionable insights using Python, R, MATLAB and shell scripting. He holds an M.Sc. in Scientific Computing and has blended academic research (PhD work at Charité) with production analytics roles across public statistics, biotech (BioNTech) and industry (SCHOTT). Simon has hands-on experience building and optimizing data workflows and HPC integrations, evidenced by contributions to the widely used neuroimaging project nipype where he improved OAR job-scheduling control. Comfortable at the intersection of software architecture and data science, he has progressed from research and software-architecture roles into senior data science leadership. Known for pragmatic automation and reproducible pipelines, he focuses on making sophisticated analyses robust and operational.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc), Biomathematik, Bachelor of Science (BSc), Biomathematik at Fachhochschule KoblenzMaster of Science (MSc), Scientific Computing, Master of Science (MSc), Scientific Computing at Technische Universität Berlin / TU Berlin
English
Github Skills (8)
hpc10
python10
job-scheduling10
devops9
dataflow-programming8
workflow-engine8
dataflow8
brain-imaging6
Programming languages (4)
Github contributions (5)
nipy/nipype
Nov 2015 - Feb 2016
Workflows and interfaces for neuroimaging packages
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:6 commits, 3 PRs, 1 comment in 3 months
Contributions summary:Simon primarily contributed to the `nipype` project by modifying the OAR plugin, a component likely related to job scheduling within a high-performance computing (HPC) environment. Their changes involved correctly passing arguments to the `oarsub` command, adding features like `oarsub_args` to allow for greater control over resource allocation (e.g., walltime, node selection). They also addressed a previous commit that was reverted, along with making general updates to the OAR settings. Additionally, they contributed to modifying interface functionalities.
workflowneuroimagingpythondata-scienceworkflow-engine
BrainModes/TVB-Pypeline
Sep 2015 - Mar 2016
Port of the automatized MRI processing pipeline to Python using Nipype
Contributions:125 commits, 37 pushes in 6 months
neuroimagingpythonpipelineprocessing-pipelinemri
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.