Philipp Ehmele
Radiology Resident at Helmholtz Zentrum München
Tübingen, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolPhilipp Ehmele is a radiology resident and computer science bachelor’s student in Tübingen who combines clinical expertise with eight years of software and research experience. He develops open-source tools for medical data analysis—co-authoring ehrapy for exploratory EHR workflows and contributing backend modules to the widely used MultiQC bioinformatics reporter. At Helmholtz Zentrum München and HPI he applies Python/R to large biomedical datasets, from HIV integration analyses to EHR quality control, while clinically focusing on MSK arthrography at Bundeswehrkrankenhaus Ulm. Self-taught as a software developer, he maintains projects like cookietemple and collaborates across themlab and mlf-core ecosystems. This cross-disciplinary profile enables him to bridge clinical questions and reproducible computational pipelines, often surfacing practical data-quality insights that aren’t obvious from raw records.
8 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universität Hamburg
Stackoverflow
89reputation
5kreached
1answer
6questions
Github Skills (15)
data-visualizations10
bioinformatics10
data-visualization10
data-visualisation10
python10
mu10
reporting-services9
ruamel-yaml6
command-line-arguments6
command-line-interface6
pytest6
sudo6
python-click6
command-line6
testing6
Programming languages (9)
Github contributions (5)
MultiQC/MultiQC
Nov 2020 - Nov 2020
Aggregate results from bioinformatics analyses across many samples into a single report.
Role in this project:
Backend Developer
Backend DeveloperContributions:13 commits in 2 days
Contributions summary:Philipp primarily contributed to the development of an "Odgi" module within the MultiQC framework. Their work involved parsing and plotting data from odgi stats reports, specifically implementing functions to extract and visualize metrics such as node distances, and mean link lengths through the use of line plots and general stats tables. The commits showcase the creation of sections and functionalities for this new module.
multiqcpythonpypianalysesbioconda
mlf-core/mlf_core_website
Aug 2020 - Jul 2021
The mlf-core website.
Contributions:1 review, 17 PRs, 30 pushes in 10 months
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