Jérôme Kieffer is a software engineer with 14 years of experience specializing in real-time online data analysis for scientific beamlines, turning high-frequency area-detector images into actionable 1D spectra at acquisition speed. With a PhD in chemistry and a background in crystallography and computational chemistry, he bridges domain science and applied math to design and parallelize algorithms that meet strict real-time constraints. He implements these algorithms in performant libraries and acquisition chains, drawing on low-level optimizations and multithreading experience evidenced by contributions to Cython and h5py. His open-source work includes performance and compatibility fixes in widely used projects like h5py, Cython, and NumPy tests, reflecting a pragmatic focus on reliability and interoperability. Based in Grenoble, he excels at translating beamline scientists’ needs into production-grade code and often tackles subtle datatype and concurrency issues that others overlook.
14 years of coding experience
Master, Chimie Physique, Master, Chimie Physique at École Normale supérieure de Cachan
Doctorat (PhD), Chimie, Doctorat (PhD), Chimie at Université Joseph Fourier (Grenoble I)
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
Role in this project:
Back-end Developer
Contributions:131 commits, 21 PRs, 10 pushes in 7 years 10 months
Contributions summary:Jérôme primarily contributed to the h5py project by merging updates from the upstream repository and addressing code issues related to data type conversions. Their commits involved modifying the codebase to ensure compatibility with Cython 3 and Python 3, updating the numpy cimport, and refactoring code. The user also made changes to tests, addressing float-related issues and correcting type mappings.
Contributions:12 commits, 2 PRs, 15 comments in 8 years
Contributions summary:Jérôme primarily worked on optimizing Cython code for performance and adding features to the standard library implementations. Their contributions involved adding the "nogil" keyword to various methods within the `libcpp` C++ standard library bindings to improve thread safety and performance. The changes included modifications across multiple `.pxd` files, indicating a focus on low-level code and integration with C++ libraries. They also added a test case for a complex number library.
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