Henry Webel
Senior Data Scientist
Copenhagen, Capital Region of Denmark
Summary
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RockstarHenry Webel is a Senior Data Scientist based in Copenhagen with a decade of experience turning complex biosustainability data into actionable insights. At DTU Biosustain he blends rigorous data science with production-quality code, regularly contributing back-end improvements to open-source tools like the innvestigate toolbox used for neural network explanation. He focuses on maintainable, high-quality code—refactoring, bug fixes, and core analyzer work—to ensure research-grade models are interpretable and reproducible. Known for bridging research and engineering, he emphasizes clean implementation of explainability methods that accelerate trust in AI-driven bioscience. Colleagues value his pragmatic approach to integrating research prototypes into robust pipelines.
10 years of coding experience
Github Skills (4)
python10
keras9
deep-learning8
machine-learning8
Programming languages (16)
Github contributions (5)
albermax/innvestigate
Feb 2020 - Oct 2020
A toolbox to iNNvestigate neural networks' predictions!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 33 commits, 13 PRs in 8 months
Contributions summary:Henry primarily focused on refactoring and improving the codebase of the `innvestigate` repository. Their commits involved removing debugging statements, fixing indentation errors, and merging branches. They also made changes to the `relevance_analyzer.py` file, indicating work within the core functionality of the project. These changes suggest a focus on maintaining code quality and integrating updates to existing features.
pytorchdeep-learningtoolboxneural-networksmachine-learning
RasmussenLab/pimms
Dec 2019 - Feb 2023
Imputing proteomics data using deep learning models
Contributions:7 releases, 857 commits, 86 PRs in 3 years 2 months
deep-learningdeep-learning-modelsproteomics-dataproteomics
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