Jack Hale
Research Scientist at University of Luxembourg
Luxembourg
Summary
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Rockstar🎓
Top SchoolJack Hale is a Research Scientist in computational engineering with 13 years’ experience bridging higher education and industry collaborations, currently based at the University of Luxembourg. He holds a PhD in Aeronautics from Imperial College London and applies deep expertise in Python, C++, optimization, finite element methods, Bayesian inference, and large-scale scientific computing to tackle PDE, adjoint and stochastic modeling problems. A long-time contributor and Steering Council member of the FEniCS Project, he has led back-end improvements to dolfinx including build-system and dependency integrations that ease adoption for researchers and practitioners. Jack combines rigorous academic research with practical software engineering, mentoring skills training programs and remaining open to challenging industry roles that translate cutting-edge numerical methods into production-ready tools.
13 years of coding experience
Doctor of Philosophy (PhD), Department of Aeronautics, Doctor of Philosophy (PhD), Department of Aeronautics at Imperial College LondonBarton Court Grammar SchoolMaster of Engineering (MEng), Mechanical Engineering with Study Abroad, Master of Engineering (MEng), Mechanical Engineering with Study Abroad at University of Bristol
Github Skills (9)
build-system10
cmake10
python10
parallel-computing9
cprogramming-language9
c-language9
mpi9
numba8
finite-element-analysis8
Programming languages (9)
Github contributions (5)
FEniCS/dolfinx
Jun 2018 - Jan 2023
Next generation FEniCS problem solving environment
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 releases, 334 reviews, 355 commits in 4 years 7 months
Contributions summary:Jack primarily focused on improving the build process and dependencies of the FEniCS/dolfinx project, specifically concerning the integration of the UFC library. They modified the FindUFC.cmake module to allow users to manually specify the UFC_INCLUDE_DIR and adjusted the error messages related to Python dependencies. Their work also included updates to installation instructions and modifications to the setup.py to manage dependencies like Numba, mpi4py and petsc4py for Python wrappers. They also performed some cleanup, removing unused elements.
next-generationsolvingfenicsfinite-element-methodsproblem-solving
FEniCS-Shells/fenicsx-shells
Aug 2022 - Feb 2025
A FEniCS Project-based library for simulating thin structures
Contributions:1 review, 33 PRs, 94 pushes in 2 years 6 months
fenicsplatesshellssimulationthin
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