Steven Dargaville
Postdoctoral Researcher at Imperial College London
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSteven Dargaville is a postdoctoral researcher and computational mathematician with 11 years of experience applying numerical methods to challenging multi-physics problems from an Imperial College London research role. He blends deep mathematical training (PhD, computational mathematics) with practical software engineering skills, contributing core back-end features to prominent open-source scientific software like the OpenMC Monte Carlo code. His work spans both C++ and Python interfaces, demonstrating an ability to evolve complex simulation settings and statepoint outputs for production-grade research tools. Based in London, he is comfortable translating theoretical advances into reliable, usable code and engaging with community-driven projects that underpin modern computational science.
11 years of coding experience
Doctor of Philosophy - PhD, Computational Mathematics, Doctor of Philosophy - PhD, Computational Mathematics at QUT (Queensland University of Technology)
Github Skills (10)
computational-physics10
c-language10
cprogramming-language10
python10
scientific-computing9
accelerated-computing9
parallel-computing9
high-performance9
cluster-computing9
nucleo8
Programming languages (3)
Github contributions (5)
openmc-dev/openmc
Feb 2020 - Feb 2020
OpenMC Monte Carlo Code
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits, 1 PR, 3 comments in 2 days
Contributions summary:Steven primarily contributed to enhancing the OpenMC code's settings and related functionalities. Their work involved modifying the `settings.py`, `src/settings.cpp`, `include/openmc/settings.h`, `src/particle.cpp`, `openmc/statepoint.py`, and `openmc/lib/settings.py` files to incorporate and manage parameters like `max_lost_particles` and `rel_max_lost_particles`. These changes involved updating the Python and C++ interfaces, and the statepoint output to allow for control over these parameters. This suggests the user has a strong understanding of the codebase and is responsible for core feature development.
computational-physicsnuclear-energyopenmcnuclear-fusionnuclear-engineering
PFLAREProject/PFLARE
Oct 2024 - Apr 2025
Contributions:12 releases, 80 PRs, 505 pushes in 5 months
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