Craig Bower

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.
code9 years of coding experience
job2 years of employment as a software developer
bookDoctor 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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Github Skills (3)

detector8
alice6
monitoring4

Programming languages (1)

Jupyter Notebook

Github contributions (3)

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Adversarial thresholding semi-bandits for online monitoring of ALICE detector control conditions.
Contributions:79 commits, 5 PRs, 72 pushes in 4 years 1 month
machinelearningadversarialsemithresholdingdetector
Craig5005/AliceBandit

Feb 2020 - Mar 2020

Contributions:22 pushes, 1 branch in 1 month
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