Research Fellow In Machine Learning at University of Leicester
Nottingham, England, United Kingdom
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Summary
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Senior
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Top School
Craig Bower is a Research Fellow in Machine Learning with nine years’ experience applying scientific ML and physics-informed AI to build robust digital twins across domains from sustainability to cosmology. He combines a strong academic foundation (PhD in online machine learning) with applied experience in industry-facing roles and predictive analytics for high-energy physics systems, including anomaly prediction work for the ALICE detector at CERN. At the University of Leicester he leads communication for a distributed and high-performance AI research group, translating complex research into partnerships and training opportunities. Comfortable moving between teaching, KTP-driven industrial projects, and senior data design, he bridges theoretical research and production-focused solutions. Colleagues value his knack for making distributed AI systems accessible and his track record of turning adversarial online learning research into real-world monitoring tools.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Online machine learning - adversarial thresholding semi-bandits, Pass, Doctor of Philosophy - PhD, Online machine learning - adversarial thresholding semi-bandits, Pass at University of Derby
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