Maxim Lippeveld

Full Stack-ontwikkelaar at IMDC

Zwijndrecht, Antwerp, Belgium
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Summary

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Senior
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Top School
Maxim Lippeveld is a Full Stack-ontwikkelaar with a decade of experience bridging data science and software engineering, currently building water data management solutions at IMDC. He holds a PhD in Bioinformatics from Ghent University where he applied advanced data-analysis and machine learning techniques to imaging flow cytometry, turning complex bio-imaging datasets into actionable insights. Comfortable across the full stack, Maxim combines rigorous research habits with pragmatic engineering to deliver robust, production-ready systems. His background in biomathematics and long-running involvement in IT operations for a student association reveal both deep technical foundations and practical infrastructure experience. Fluent in translating scientific challenges into scalable software, he’s passionate about using data-driven approaches to solve real-world engineering problems.
code10 years of coding experience
job4 years of employment as a software developer
bookResearch Doctorate, Biomathematics, Bioinformatics, and Computational Biology, Research Doctorate, Biomathematics, Bioinformatics, and Computational Biology at Universiteit Gent
bookMiddelbare School, Wetenschappen-Wiskunde (6u), Middelbare School, Wetenschappen-Wiskunde (6u) at Sint-Jozef-Klein-Seminarie
languagesDutch, French, English
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Stackoverflow

Stats
11reputation
2kreached
0answers
4questions
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Github Skills (136)

parallel10
python10
forge10
parallel-computing10
pydata10
microscopy10
pandas10
scipy10
dask-distributed10
dask10
keras-tensorflow10
scikit-learn10
bam9
numpy9
image-analysis9

Programming languages (8)

TypeScriptJavaC++RustJavaScriptPHPJupyter NotebookPython

Github contributions (5)

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Codebase for developing and testing deep clustering methods, specifically for imaging flow cytometry data.
Contributions:99 commits, 1 PR, 1 push in 4 months
clustering-methodscytometry-datadevelopingtestingflow-cytometry-data
saeyslab/cifconvert

Mar 2019 - Nov 2020

cifconvert is a package built on the python-bioformats package that saves images and masks from the proprietary Amnis CIF-file format to an HDF5 file.
Contributions:5 commits, 1 push, 1 branch in 1 year 9 months
openexrsariffile-formatpythonmasks
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Maxim Lippeveld - Full Stack-ontwikkelaar at IMDC