Daniel Camp
Program Delivery Coordinator (EL1), Flood Warning Infrastructure Network (FWIN) Program
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolDaniel Camp is a pragmatic program delivery coordinator with nine years’ experience translating complex technical and operational requirements into auditable, on-time outcomes across the Bureau of Meteorology’s infrastructure and observations programs. He combines PMO, governance and ITIL expertise with hands-on financial and procurement management, mentoring junior staff and improving processes that materially reduce delays and cost leakage. A former astrophysicist and active scientific software contributor, he has deep experience in scientific codebases (notably Fortran work on the Phantom SPH/MHD project) which gives him uncommon technical fluency for an EL1 delivery role. Colleagues describe him as highly organised, solutions-focused and able to turn messy forecasts, risks and procurement friction into clear, repeatable practices that uplift program performance.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Teaching (Primary) / Bachelor of Applied Science (Human Movement), Bachelor of Teaching (Primary) / Bachelor of Applied Science (Human Movement) at Deakin UniversityRingwood Secondary College
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
simulations10
simulation10
fortran10
fluid-dynamics10
simulator10
scientific-computing10
hdf8
cprogramming-language5
c-language5
Programming languages (5)
Github contributions (5)
danieljprice/phantom
Mar 2017 - Mar 2021
Phantom Smoothed Particle Hydrodynamics and Magnetohydrodynamics code
Role in this project:
Back-end Developer & Scientific Software Engineer
Back-end Developer & Scientific Software EngineerContributions:227 commits, 2 PRs, 22 comments in 4 years
Contributions summary:Daniel primarily contributed to the development and maintenance of the Phantom Smoothed Particle Hydrodynamics and Magnetohydrodynamics code. Their work involved fixing code, enhancing the analysis capabilities with the inclusion of MCFOST (Monte Carlo simulation of radiative transfer) which is used to produce synthetic line emission, and adding the capability to read and write dust fractions for two-fluid simulations. The commits also included work on the implementation of removing particles within a particular radius and adding ISM heating. The user demonstrated a deep understanding of the Fortran code base.
fluid-solverfluid-dynamicssmoothed-particle-hydrodynamicsastrophysical-simulationastrophysics
dmentipl/dotfiles
Jun 2019 - Jun 2022
dotfiles for macOS with nix
Contributions:295 commits, 56 PRs, 293 pushes in 3 years
nixos-configurationstarshipkarabinervscodelinux
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