Bram Veenboer is a researcher and high-performance computing specialist with 11 years of experience applying GPUs and other accelerators to speed up radio-astronomical data processing. Based at ASTRON, he earned a PhD in Computer Science (VU Amsterdam) for work on "Radio-Astronomical Imaging on Accelerators" and translates that research into performance improvements for instruments like LOFAR and the Square Kilometre Array. His background spans GPU-accelerated computer-vision from a CWI master project to teaching and mentoring during his university years, giving him both practical implementation skills and academic rigor. Bram combines deep expertise in accelerator programming with a track record of scientific publications and telescope-ready optimizations, making him adept at turning algorithmic ideas into production-grade, high-throughput systems.
LOFAR software stack deployment scripts and Dockerfiles for R&D purposes
Contributions:121 commits, 7 PRs, 36 pushes in 4 years
software-stackdeploymentdockerlofardockerfiles
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