Tim-oliver Buchholz
Senior Expert I Data Science
Basel, Basel-City, Switzerland
Summary
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Senior🎓
Top SchoolTim-Oliver Buchholz is a Senior Expert in Data Science and a research software engineer with 11 years of experience building and operationalizing biomedical image processing and analysis pipelines. He combines deep hands-on expertise in Python and Java with frameworks like PyTorch, TensorFlow, scikit-image and Dask to handle imaging data from 2D light microscopy to large 5D electron microscopy datasets. At institutions including MPI-CBG, the Friedrich Miescher Institute and now Novartis, he has bridged research and production, emphasizing FAIR practices and training non-computational scientists to adopt state-of-the-art tools. An active contributor to scikit-image test automation, he focuses on improving reliability and reproducibility of core image-analysis primitives. Based in Basel, he brings a research doctorate mindset to pragmatic software engineering, ensuring robust, well-tested solutions for complex imaging workflows.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.), Master of Science (M.Sc.) at University of KonstanzDr. rer. nat., Dr. rer. nat. at Technische Universität Dresden
Github Skills (7)
computer-vision10
scikit-image10
python10
image-processing10
numpy10
testing10
pytest9
Programming languages (10)
Github contributions (5)
scikit-image/scikit-image
Mar 2022 - Apr 2022
Image processing in Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:4 reviews, 15 commits, 1 PR in 14 days
Contributions summary:Tim-oliver primarily focused on adding and modifying tests for the `scikit-image` library, specifically related to the `measure` module. Contributions included adding new test cases for various properties like `pixel_area`, `num_pixels`, `coords_scaled`, and central moments with spacing. The changes involved updating existing tests and fixing implementations to ensure accuracy and coverage, which improved the reliability of the library. These commits also included modifications to test existing properties such as axis length and moments.
image-processingpythoncomputer-visionimage
tibuch/FOPD-Solver
Mar 2017 - Jul 2017
Contributions:26 PRs, 104 pushes, 32 branches in 3 months
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