Xavier Lopez
Data Architect
Geneva Metropolitan Area Switzerland
Summary
👤
Senior🎓
Top SchoolXavier Lopez is a Data Architect based in Geneva with 15 years of experience designing and leading data and analytics initiatives across biomedical, industrial, and financial sectors. He combines deep academic expertise—a PhD in Biomedical Image and Data Analysis—with hands-on leadership roles at AXA, Qim info, and now ROLEX, delivering production-grade data products that support decision-making and automation. His background in image analysis and immunohistochemistry is reflected in open-source contributions to scikit-image, where he implemented color deconvolution functions used in IHC staining analysis. Comfortable bridging research and enterprise, he has built teams and platforms for large-scale image and tabular data extraction, quality assessment, and ML-driven insights. Known for turning complex scientific workflows into robust, deployable solutions, he thrives on projects that require both technical rigor and operationalization.
15 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Biomedical Image and Data Analysis, Doctor of Philosophy (PhD), Biomedical Image and Data Analysis at Ecole Polytechnique de Bruxelles - Université Libre de Bruxelles
French, English, Spanish, Dutch
Github Skills (8)
computer-vision10
scikit-image10
python10
image-processing10
color-conversion10
numpy10
colorspace10
testing7
Programming languages (4)
Github contributions (5)
scikit-image/scikit-image
Feb 2013 - Mar 2013
Image processing in Python
Role in this project:
ML Engineer / Data Scientist
ML Engineer / Data ScientistContributions:25 commits in 16 days
Contributions summary:Xavier primarily contributed to the `scikit-image` library by implementing and improving image processing algorithms, specifically focusing on color space conversions and immunohistochemical (IHC) staining analysis. They added functionality for color deconvolution, including `rgb2hed` and `hed2rgb` functions, and integrated an example of IHC staining separation. Their work involved modifying existing code, adding tests, and optimizing the accuracy and usability of the color conversion methods, demonstrating a strong focus on image processing techniques.
image-processingpythoncomputer-visionimage
spotter/Parsr
Nov 2020 - Nov 2020
Transforms PDF, Documents and Images into Enriched Structured Data
Contributions:2 pushes in 1 day
pdfenrichedstructuredpdf-documentsstructured-data
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