Matthew Archer
Senior Research Software Engineer at University of Cambridge
Cambridge, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolMatthew Archer is a Senior Research Software Engineer at the University of Cambridge with eight years’ experience applying AI, numerical modelling and HPC to climate and scientific problems. He leads data-driven climate projects that blend neural methods and classical emulation (PCA + Gaussian Process) and has a track record of deploying and benchmarking large AI workloads on pre-exascale systems. His PhD in Computational Physics underpins hands-on work coupling PDE solvers (FEniCS, BEMpp) with MPI and maintaining reproducible HPC workflows via Spack and CI. An active open-source contributor and Spack release manager, he’s improved packaging and dependency management for FEniCS-related ecosystems—work that quietly smooths reproducible science at scale.
8 years of coding experience
6 years of employment as a software developer
Advanced Computer Science, Advanced Computer Science at The University of ManchesterDoctor of Philosophy (Ph.D.) Computational Physics, Doctor of Philosophy (Ph.D.) Computational Physics at University of CambridgeMaster of Engineering - MEng, Master of Engineering - MEng at The University of Sheffield
Github Skills (10)
python10
package-management10
build-tools9
cmake9
package-manager8
package-manager-tool8
scientific-computing8
cprogramming-language7
hpc7
c-language7
Programming languages (5)
Github contributions (5)
spack/spack
Oct 2021 - Sep 2022
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Role in this project:
Back-end Developer & Release Manager
Back-end Developer & Release ManagerContributions:13 reviews, 5 commits, 6 PRs in 11 months
Contributions summary:Matthew primarily contributed to the spack/spack repository by implementing and managing packages, specifically for the KaHIP, UfCx, Fenics-Dolfinx, and related projects. This involved updating build systems, adding new package versions, and managing dependencies. The user's contributions also include updating versioning and dependencies for the Py-fenics-* packages and generally helping to maintain and release updated packages.
compilerspythonradiussplatformslinux
ma595/TensorFluid
Nov 2019 - Nov 2023
Implementation of fluid solvers in Tensorflow
Contributions:3 PRs, 7 pushes, 6 branches in 4 years 1 month
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