Phil Swatton is a Senior Data Scientist at the Alan Turing Institute who specialises in applied deep learning research for government partners, delivering proof-of-concept code and technical reports with academic rigor. With a PhD in Government and six years’ experience, he bridges political science and machine learning across NLP, computer vision and audio, tackling topics from transfer-attack vulnerability to selective forgetting in large language models. He is fluent in Python and R, practised in reproducible research and experienced in teaching quantitative methods at UCL and summer schools. Phil’s background in political methodology gives him unusual strength in measurement theory, MRP and latent-variable models, letting him translate social-science questions into robust ML experiments. He has also advised on AI policy risks like election interference, reflecting a pragmatic interest in the societal impacts of applied AI.
5 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Government, Doctor of Philosophy - PhD Government at University of Essex
Bachelor of Arts (BA), Bachelor of Arts (BA) at Keele University
Contributions:142 reviews, 45 PRs, 130 pushes in 9 months
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