Samuel Jackson
Data Scientist | Research Software Engineer
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 |
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| 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 |