EllyessBenmoufok

• Developed PyVWF, modular wind simulation and reanalysis bias-correction tooling.
• Built scalable ERA5 spatiotemporal pipelines integrated into PyPSA-Eur optimisation studies.
• Published peer-reviewed work on high-resolution wind bias correction.

• Numerical methods, optimisation, and parallel programming in Python and C++.
• Research project on multi-output regression with GANs (co-authored publication).

• Foundations in mathematical modelling, numerical analysis, and physical systems.
• Applied computational techniques (Fortran, Python) to scientific problem-solving.

• Supported teaching and assessment across computational science modules.

• Applied data science methods to energy-relevant datasets; delivered analysis and prototypes.

• Contributed to I-Hex, a Google Earth Engine web application suite (Imperial College London, Maldives National University, Banyan Tree Foundation) surfacing decades of satellite remote-sensing and climate data for island environmental monitoring in the Indian Ocean.
• Applied machine learning to satellite imagery for land-cover classification and feature detection.

• Most technical member of the team; led automation of the Employer Brand Index, the company's core data product.
• Built web scrapers and data-cleaning pipelines to source and standardise employer branding signals.
• Prototyped the data pipeline intended to support training a language model on the collected corpus.

Geographic variability in reanalysis wind speed biases: A high-resolution bias correction approach for UK wind energy

Wang, Y., Warder, S., Benmoufok, E.F., Wynn, A., Buxton, O.R.H., Staffell, I., & Piggott, M.D.

Energy Conversion and Management, 352, 121066.

Extends the multi-country high-resolution bias correction framework PyVWF.

Improving wind power modelling through granular spatial and temporal bias correction of reanalysis data

Benmoufok, E.F., Warder, S., Zhu, E., Bhaskaran, B., Staffell, I., & Piggott, M.D.

Energy, 313, 133759.

Lead-author study introducing PyVWF, a multi-country high-resolution bias correction framework for reanalysis-driven wind power modelling.

Multi-Output Regression with Generative Adversarial Networks (MOR-GANs)

Phillips, T.R.F., Heaney, C.E., Benmoufok, E., Li, Q., Hua, L., Porter, A.E., Chung, K.F., & Pain, C.C.

Applied Sciences, 12(18), 9209.

Co-authored study developing GAN approaches for multi-output regression in scientific modelling.

An open-source Python library for statistical bias correction of reanalysis wind data and wind power capacity factor estimation, developed through my PhD and the peer-reviewed publications above.

Maintained as reproducible research software: a pytest suite with coverage, linting with ruff, and GitHub Actions CI across Python 3.10 to 3.12, packaged for pip install. A submission to the Journal of Open Source Software (JOSS) is in preparation.

Python · Xarray · Dask · GeoPandas · SciPy · scikit-learn

Energy systems optimisation extensions integrating improved wind modelling into the PyPSA-Eur ecosystem, with Snakemake workflows carrying corrected reanalysis fields into continental-scale planning studies.

Python · PyPSA · Atlite · Snakemake · ERA5

Outside computational energy modelling, I work on real-time audio-visual systems and creative coding, with generative visuals in TouchDesigner and music production in Ableton Live, oriented toward interactive and performance-driven workflows.

I'm also developing Fool's Ascension, a roguelite card game built on Russian Durak. Branching 3-act runs, persistent meta-progression, and tightly-systemised encounter design in Godot.

Open-source Python library for bias correction of reanalysis wind data and wind power capacity factor estimation. Featured above under Open Source & Research Software.

Scenario design and optimisation experiments for large-scale energy system planning using PyPSA-Eur and scientific Python tooling.

An independent study of whether populations of LLM personas reproduce the real distribution of opinions a human group holds, measured against nationally representative UK surveys. Five persona methods, two models, distribution-fidelity metrics (TVD/JSD), and diagnostics that detect a model being right for the wrong reasons.

Roguelite card game in development, built on the Russian card game Durak. Branching 3-act runs, persistent meta-progression, and tightly-systemised encounter design in Godot.

Explorations in musical composition and sound design, blending technical precision with artistic expression.

A small constrained-optimisation web app for tuning gear setups in a kart racing game. A hobby project applying search algorithms to a game-balancing problem.