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matthewjdoyle/README.md
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Matthew J. Doyle, PhD

Interested in computing, software architecture, numerical methods, experiment design, and the mathematics of complex and chaotic physical systems.

About Me

  • PhD in Condensed Matter Physics from the University of Manchester, specialising in numerical simulation and experimental visualisation of quantum turbulence.
  • MSci in Physics from the University of Bristol, with a research project focused on simulating particle-collision experiments, developing conformal-tracking algorithms, and evaluating detector components for the proposed Compact Linear Collider (CERN).
  • Experienced in scientific computing with C++, Fortran, Python, MATLAB and shell scripting.
  • Favourite algorithms: Adams-Basforth, Barnes-Hut Tree, RK4, Monte-Carlo methods.
  • Experience contributing to RLHF for frontier LLM training in physics, programming and computer-use.
  • Maintainer of several free-to-use web applications and interactive demos: matthewd0yle.com/portfolio
  • Experimenting with local and open-weight LLMs, agentic automations and AI powered software.

Get in Touch

Website Pages of Interest


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  1. Marching-Cubes-for-Fermi-Surfaces Marching-Cubes-for-Fermi-Surfaces Public

    This computational physics project implements a modular Tight-Binding (TB) physics engine coupled with the topologically guaranteed Marching Cubes 33 (MC33) algorithm in Fortran 90, alongside a Pyt…

    Fortran 2

  2. labfit labfit Public

    LabFit is a small, student-friendly Python library for least-squares curve fitting, error propagation, and publication-quality plotting - built on NumPy, SciPy, and Matplotlib.

    Python 1

  3. power-monitor power-monitor Public

    Real-time energy monitoring. Tracks CPU package, cores, uncore, DRAM, and platform total (PSYS) power at configurable intervals. Logs to SQLite, generates publication-quality graphs, and supports a…

    Python 1

  4. IC2V IC2V Public

    Image Collection 2 Video (IC2V) is a ffmpeg-based command-line tool for converting a collections of .png images into videos e.g. for stop-motion.

    Python