Hanno Spreeuw is a Senior eScience Research Engineer based in Amsterdam with 11 years of experience building high-performance scientific software for astronomy, medical imaging and radiotherapy verification. He combines deep domain knowledge from a PhD in Astronomy with hands-on expertise in Python, C/C++, Fortran and performance techniques like SIMD, vectorization and multithreading to optimize image-processing pipelines. At the Netherlands eScience Center he translates research needs into production-quality code, emphasizing unit and statistical testing and practical Python-C integration (Cython, ctypes, Python-C API). His background includes postdoctoral research on real-time 3D dose verification and source-extraction tools, reflecting a rare blend of experimental science and engineering rigor. Trained in Agile & Scrum, he also brings financial and organizational experience from long-running volunteer roles, signaling steady project stewardship beyond pure coding. Colleagues rely on him for pragmatic, performance-first solutions that bridge research prototypes and maintainable software.
11 years of coding experience
Astronomy, Astronomy at Columbia University in the City of New York
B.Ec., Business administration, B.Ec., Business administration at Amsterdam University of Applied Sciences
Agile & Scrum in projecten, Agile & Scrum in projecten at Schouten & Nelissen
Ph.D., Astronomy, Ph.D., Astronomy at University of Amsterdam
Summer student, Summer student at ASTRON, Dwingeloo
European Baccalaureate, European Baccalaureate at European School
Continuation of ltacat from https://github.com/EOSC-LOFAR/ltacat for PROCESS
Contributions:1 PR, 1 push, 2 branches in 3 years 7 months
continuationlofareoscpython
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