Physicist Research Scientist (Career) at Berkeley Lab
Berkeley, California, United States
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Summary
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Axel Huebl is a computational physicist and research software engineer with 13 years of experience building and running high-performance, GPU-accelerated simulation codes for laser-plasma physics and advanced particle accelerators at Berkeley Lab. He leads open-source Exascale projects and architects resilient data-science and ML pipelines that run on the world's largest supercomputers, combining deep domain physics with production-grade software engineering. An active maintainer across prominent scientific infrastructures—contributing to Spack, conda-forge, AMReX, pybind11, CMake and HDF5/python tooling—he focuses on build systems, performance portability and parallel I/O at PByte scale. Beyond coding, he organizes conferences, chairs program committees and advises community planning and policy efforts, bridging research, software and community leadership. Notably, he helped scale PIConGPU to leadership-class systems and improved reproducibility and packaging across the scientific Python/HPC ecosystem. Based in Berkeley, he pairs a summa cum laude PhD in physics with a knack for turning cutting-edge physics problems into robust, deployable software.
13 years of coding experience
15 years of employment as a software developer
Dr. rer. nat. (equivalent to a PhD), Physics, summa cum laude (with highest distinction), Dr. rer. nat. (equivalent to a PhD), Physics, summa cum laude (with highest distinction) at Technische Universität Dresden
Performance-Portable Particle-in-Cell Simulations for the Exascale Era :sparkles:
Role in this project:
Back-end Developer & Performance Engineer
Contributions:34 releases, 52 reviews, 2408 commits in 8 years 7 months
Contributions summary:Axel primarily contributed to the code base by implementing and optimizing core functionality within the PIConGPU simulation. Their work included the addition and integration of system libraries and exposed a global seed, indicating a focus on improving simulation control and reproducibility. They also made changes to the code that were targeted to reduce memory usage and improve performance. The user also made adjustments to address issues within the code.
AMReX: Software Framework for Block Structured AMR
Role in this project:
Backend Developer
Contributions:700 reviews, 199 commits, 508 PRs in 3 years 5 months
Contributions summary:Axel primarily focused on maintaining and improving the AMReX software framework for block structured AMR. Their contributions included addressing const-correctness issues, updating documentation to reflect the addition of MPI/CUDA support, and using new Real literals. They also fixed warnings related to GCC 7.4.0 and addressed linker and CMake-related issues, enhancing the build system and codebase stability.
amrmpistructuredsnl-applicationsmultiphysics
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Axel Huebl - Physicist Research Scientist (Career) at Berkeley Lab