Emmanuel Motheau is a Senior Computational Scientist with a PhD in Fluid Dynamics and over a decade of experience building high-performance simulation and AI-augmented workflows for reactive and compressible flows. He has led R&D at Siemens and Berkeley Lab to port and optimize large-scale codes (AMReX/PeleLM, Fortran→C++/CUDA) for CPU/GPU heterogeneous systems, implemented hybrid MPI/OMP and MPI/CUDA strategies, and integrated deep learning inference at scale. At Siemens he explored WebGPU/Rust and compute-shader PDE solvers for real-time interactive fluid simulation, bridging numerical methods with modern graphics engines. An active open-source contributor, he has improved AMReX build systems and convergence tools to widen platform compatibility. Based in New Jersey, he combines rigorous applied mathematics with practical software engineering and an unusual knack for turning legacy scientific codes into production-ready, GPU-accelerated systems.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Audio-Engineering, Bachelor's degree Audio-Engineering at ESRA
Doctor of Philosophy (Ph.D.) Fluid Dynamics, Doctor of Philosophy (Ph.D.) Fluid Dynamics at Toulouse INP
AMReX: Software Framework for Block Structured AMR
Role in this project:
Backend Developer & Build Automation Engineer
Contributions:4 reviews, 44 commits, 12 PRs in 5 years 2 months
Contributions summary:Emmanuel's contributions primarily involved modifications to build scripts and configuration files within the AMReX framework. They added support for a new machine, "varan", to the build system, suggesting involvement in platform compatibility. Furthermore, the user worked on fixing build issues related to a convergence tool and made corrections in the convergence tools in 1D. The user updated the EB/MacProj tutorial to match the latest AMReX version. They made changes to the AugmentPlotfile tool, ensuring correct functionality.
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