Olivier Burri
Bioimaging Innovation Manager
Prilly, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolOlivier Burri is a bioimaging innovation manager and image analysis engineer with over a decade of hands-on experience bridging advanced microscopy, software development, and customer-facing solutions. Trained at EPFL in biotechnology and biomedical engineering, he has built robust pipelines and Fiji/ImageJ toolboxes for electron and digital pathology, automated whole-slide image handling, and managed lab IT for large clinical services. He pairs low-level programming (C++, Java) and backend work—contributing memory- and macro-related fixes to the widely used QuPath project—with pragmatic attention to acquisition quality and reproducible analysis. Known for teaching and consulting roles, Olivier excels at turning messy imaging workflows into reliable, unbiased data streams that experts can trust. Based in Prilly, Switzerland, he combines research-rooted rigor with product-minded delivery, and often spots practical pitfalls in workflows that others overlook, such as resource limits and annotation retrieval edge cases.
12 years of coding experience
1 year of employment as a software developer
Ecole polytechnique fédérale de LausanneMaster's degree, Biotechnology, Master's degree, Biotechnology at EPFL
French, English, Spanish, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
javas10
imagej10
image-processing10
java10
memory-management9
api8
apim8
integrations8
api-design8
groovy5
Programming languages (14)
Github contributions (5)
qupath/qupath
Jan 2018 - Jan 2018
QuPath - Open-source bioimage analysis for research
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 1 PR, 31 comments in 15 days
Contributions summary:Olivier focused on improving the integration of QuPath with ImageJ, a bioimage analysis tool, by addressing memory management issues and enhancing macro execution capabilities. They added checks to prevent processing excessively large images in ImageJ and implemented a memory threshold to ensure sufficient resources. Additionally, the user modified the macro interpreter to return annotations from the overlay, improving the flexibility of the tool. They also fixed minor issues in image name identification.
qupathbioimage-informaticsimage-processingdigital-pathologypathology
lacan/ij-svg-roi
Nov 2015 - Sep 2018
Contributions:1 release, 5 commits, 2 pushes in 2 years 10 months
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