Jisk Attema
Product Owner Digital Research Support at Tilburg University
North Brabant, Netherlands
Summary
👤
Senior🎓
Top SchoolJisk Attema is a product-oriented technologist with a PhD in physics and 12 years of experience bridging scientific research and software engineering, currently serving as Product Owner Digital Research Support at Tilburg University. He has led portfolios and teams at the Netherlands eScience Center, turning complex domain problems—from climate modeling to real-time radio astronomy pipelines—into practical, high-quality software solutions. Hands-on in languages like Python, Fortran and C++, he’s contributed algorithmic back-end work to open-source projects such as python-pcl, implementing advanced point-cloud registration methods (GICP, non-linear ICP) and improving CI/build reliability. Colleagues rely on him for combining technical depth with stakeholder management across academia, engineering and funding partners, and he often spots people and process issues earlier than technical ones. Based in North Brabant, he balances deep computational expertise with a knack for simplifying complexity into usable tools and reproducible research workflows.
12 years of coding experience
13 years of employment as a software developer
PhD, Condensed Matter and Materials Physics, PhD, Condensed Matter and Materials Physics at Radboud Universitymaster, physics, master, physics at University of Groningen
English, Dutch, German, Spanish
Github Skills (15)
algorithm10
data-structures10
pcl10
algorithms10
point-cloud-library10
c-language10
cprogramming-language10
point-cloud10
python10
data-structure10
cython10
numpy9
unit-testing8
testing8
unit-test8
Programming languages (14)
Github contributions (5)
strawlab/python-pcl
Sep 2014 - Mar 2015
Python bindings to the pointcloud library (pcl)
Role in this project:
Back-end Developer / Algorithm Implementer
Back-end Developer / Algorithm ImplementerContributions:8 commits in 6 months
Contributions summary:Jisk primarily focused on extending the functionality of the `python-pcl` library, specifically by adding implementations for Generalized Iterative Closest Point (GICP) and Non-Linear ICP algorithms. Their work included defining C++ classes and corresponding Python bindings using Cython for these algorithms. The user also created and updated test cases to ensure the correctness of the newly implemented registration methods, which is critical for point cloud processing. Furthermore, the user corrected the kdtree example and addressed a compile error related to the project's build process in Travis CI.
pythonpython-bindingspcl-librarypclpointcloud
Filter-Bubble/stroll
Feb 2020 - Aug 2021
Graph based Sematic Role Labeller
Contributions:3 releases, 131 commits, 1 PR in 1 year 5 months
sematicgraph-basedlabellergraphrole
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