CV

This page represents a web version of my comprehensive CV. I aim to keep it reasonably up-to-date. Where information is available elsewhere on this site, I have linked to that content rather than duplicate it here.

Profile

I am a final-year PhD student in the Centre for Doctoral Training in Modelling of Heterogeneous Systems at the University of Warwick, based in the Department of Physics under the supervision of Prof. David Quigley. My training included a one-year CDT programme covering materials simulation and predictive modelling techniques for a Postgraduate Diploma, and I specialise in enhanced Monte Carlo sampling and predictive machine learning for complex physical systems. My research has focused on high-entropy alloys, phase transitions, thermodynamic properties, and machine-learned models for collective variables and nucleation rates.

Education

• PhD in Modelling of Heterogeneous Systems, University of Warwick, UK (September 2022 - October 2026 expected)
  • Thesis title: “Memory matters: Beyond Markovian models of rare-event kinetics”
  • Supervisor: Prof. David Quigley (Department of Physics, University of Warwick)
  • Fully funded studentship within the UK Engineering and Physical Sciences Research Council (EPSRC) Centre for Doctoral Training in Modelling of Heterogeneous Systems (HetSys)
• PGDip, Modelling of Heterogeneous Systems, University of Warwick, UK (September 2022 - October 2024)
  • Award: Passed with merit.
  • Formal training included kinetic theory, electronic structure theory, density functional theory, Gaussian processes, scientific software, predictive modelling, uncertainty quantification, atomistic and continuum modelling, and fluid dynamics.
• BSc MPhys (Hons), Physics, University of Warwick, UK (September 2018 - July 2022)
  • Award: First-class honours.
  • Master’s project: “Classification of Neutrino-induced Particles, and Characterisation of Showers at DUNE”, supervised by Dr. John Marshall.

Software

For information on software, please see the software page of this site.

Research experience

• September 2022 - Present: PhD Researcher, Department of Physics, University of Warwick, UK
  • Supervisor: Prof. David Quigley (University of Warwick)
  • Project Title: “Memory matters: Beyond Markovian models of rare-event kinetics”
  • Summary: My research centres on rare-event kinetics and enhanced Monte Carlo sampling, with applications to phase transitions and thermodynamics in high-entropy alloys. I developed supervised CNN committor predictors as a practical alternative to expensive committor calculations for nucleation-rate estimation, and created a scalable variant of Wang-Landau sampling for calculating densities of states in alloy systems. This work includes analysing parallelisation strategies, improving load balancing across energy windows, and applying flat-histogram sampling to high-entropy alloys.
• October 2021 - July 2022: Final-Year Project Student, University of Warwick, UK
  • Supervisor: Dr. John Marshall (University of Warwick)
  • Project Title: “Classification of neutrino-induced particles, and characterisation of showers at the Deep Underground Neutrino Experiment (DUNE)”
  • Summary: Analysed simulated DUNE detector events in Python to classify neutrino-induced particle signatures and characterise shower topology. Investigated class separability using receiver operating characteristic curves.
• Summer 2021: Research Intern, Department of Mathematics, University of Warwick, UK
  • Supervisor: Dr. Radu Cimpeanu (University of Warwick)
  • Project Title: “Deformation of Droplets at High Speeds”
  • Summary: Modelled high-speed droplet deformation using Navier-Stokes solvers in Basilisk. Collaborated with a computational fluid dynamics group to review numerical methods and the broader modelling approach.
• Summer 2020: Research Intern, School of Engineering, University of Warwick, UK
  • Supervisor: Dr. Peter Brommer (University of Warwick)
  • Project Title: “Monte Carlo Study of the Equilibrium State of NiAl Crystal”
  • Summary: Developed a Markov chain Monte Carlo sampler in Python with LAMMPS as the atomistic simulation engine. Analysed simulation trajectories to probe equilibrium behaviour and identify transition bands in the sampled state space.
• Summer 2019: Research Intern, Department of Physics, University of Warwick, UK
  • Supervisor: Dr. John Duffy (University of Warwick)
  • Project Title: “Phase Transitions and Dielectric Properties of Nano-confined Water”
  • Summary: Operated a liquid-nitrogen-cooled cryostat and vacuum system to run LabVIEW automated temperature-controlled dielectric measurements on a nanoporous medium saturated with water.

Industry experience

• July 2025 - Present: Data Labeler, Alignerr, Remote
  • Contributing to labelling and evaluation projects for training flagship ML models under tight deadlines, adapting quickly to changing priorities and guidelines.
  • Worked on pilot and edge-case tasks, documented ambiguities to refine guidelines, and collaborated across time zones.
  • Wrote short reports to improve deployment throughput and performed final human QA for Terminal-Bench in C, Bash, and Python.

Skills

• Programming languages: Python (7 years), Fortran (4 years), C (6 years), Bash (5 years), LaTeX (7 years), LabVIEW.
• Data science and machine learning: PyTorch, NumPy, SciPy, scikit-learn, Jupyter, and custom solutions developed from scratch.
• High-performance computing, optimisation, and parallelisation: MPI, OpenMP, NetCDF, HDF5, Slurm, GCC, NVCC, Make, and CentOS clusters.
• GPU programming: Python tooling and multi-GPU HPC workflows around CUDA-accelerated scientific software; foundational training in CUDA C/C++, multi-GPU CUDA C++, and CUDA Python.
• Developer tools: Git and GitHub for independent development, collaborative development, and code contribution workflows.

Prizes, Awards, and Funding

• Engineering and Physical Sciences Research Council (EPSRC) CDT Studentship, University of Warwick, UK.
  • Four-year funded PhD studentship covering tuition fees and stipend, plus travel and consumables budget. Approximate total value: £100,000.
• Undergraduate Research Support Scheme (URSS), University of Warwick.
  • Funding of £1,600 per project for three summer research internships (£4,800 total).
  • Summer 2021 - “Deformation of Droplets at High Speeds”.
  • Summer 2020 - “Monte Carlo Study of the Equilibrium State of NiAl Crystal”.
  • Summer 2019 - “Phase Transitions and Dielectric Properties of Nano-confined Water”.

Publications

For information on my publications, please see the publications page of this site.

Conference Presentations

For information on my conference presentations, please see the talks page of this site.

Professional Memberships

• Member, Institute of Physics (IOP).
• Member, American Physical Society (APS).

References

• Prof. David Quigley, University of Warwick, Department of Physics - D.Quigley@warwick.ac.uk
• Dr. Christopher D. Woodgate, University of Bristol, School of Physics - Christopher.Woodgate@bristol.ac.uk
• Prof. Julie B. Staunton, University of Warwick, Department of Physics - J.B.Staunton@warwick.ac.uk
• Dr. Peter Brommer, University of Warwick, School of Engineering - P.Brommer@warwick.ac.uk