Samuel Jackson

Data Scientist | Research Software Engineer

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I’m a data scientist working in the machine learning and visualization group at the UK Atomic Energy Authority.

I have a background in machine learning for large scale science facilities. In a previous life I worked on Python and C++ development for scientific data analysis and reduction workflows. I have experience developing machine learning models in both Pytorch and Tensorflow, as well as practical knowledge of scaling models on large HPC systems.

news

Mar 24, 2026 New co-authored JOSS paper: DisruptionPy: An open-source physics-based scientific framework for disruption analysis of fusion plasmas
Mar 10, 2026 Released new open source software package: TokTagger for interactive tagging of tokamak diagnostic data, which was presented by a colleague at OSSFE.
Feb 16, 2026 New co-authored arxiv submissions: TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models and TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics
Sep 24, 2025 Attended AAPPS-DPP conference and delivered a talk on Towards Open Machine Learning Datasets with AI Driven Annotation
Aug 18, 2025 New paper published: An open data service for supporting research in machine learning on tokamak data