Ivo Flipse
Co-Founder at MedQAIR
Arnhem, Gelderland, Netherlands
Summary
👤
Senior🎓
Top SchoolIvo Flipse is a co-founder and seasoned technical leader with 12 years of experience at the intersection of biomedical engineering, image processing, and regulatory-compliant product delivery. He has led teams building clinical-grade software for orthopedic workflows and gait/pressure analysis, combining scientific Python development with product ownership and quality management. A hands-on contributor to scikit-image, he has optimized core image-processing routines for performance, reflecting deep low-level Python/Cython expertise. Based in Arnhem, he now runs MedQAIR Services, helping healthcare companies integrate regulatory, information security, and cybersecurity requirements into practical operations. His background in human movement sciences and open-source tooling gives him a rare blend of domain insight and engineering rigor that accelerates translation from research to regulated products.
12 years of coding experience
11 years of employment as a software developer
Computer Science, Computer Science at CourseraSt. WalburgisschoolComputer Science, Computer Science at UdacityMsc Human Movement Sciences, Msc Human Movement Sciences at Vrije Universiteit Amsterdam (VU Amsterdam)Thomas a Kempis CollegeBsc Human Movement, Bsc Human Movement at De Haagse Hogeschool / The Hague University of Applied Sciences
Dutch, English, German
Stackoverflow
10,242reputation
751kreached
13answers
15questions
Github Skills (11)
computer-vision10
python10
cython10
image-processing10
numpy10
refactoring9
pyside6
winforms6
wpf6
animation6
matplotlib6
Programming languages (6)
Github contributions (5)
scikit-image/scikit-image
Jun 2015 - Nov 2015
Image processing in Python
Role in this project:
Backend Developer
Backend DeveloperContributions:17 commits, 1 PR, 27 comments in 5 months
Contributions summary:Ivo primarily focused on optimizing and refactoring code within the `scikit-image` repository. Their contributions involved modifying and improving the `_hoghistogram.pyx` and `_hog.py` files, including changes to function names, indentation, and loop optimizations. They also converted variables to typed memory views and added `nogil` to improve the performance of the code.
image-processingpythoncomputer-visionimage
ClinicalGraphics/staged-recipes
Apr 2016 - Feb 2018
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Contributions:101 pushes, 16 branches, 1 comment in 1 year 10 months
placeconda-forgerecipescondasubmit
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