Paul Gardner is a Senior Consultant based in Sheffield with six years' experience applying probabilistic machine learning and transfer-learning techniques to real-world engineering problems. He builds self-adapting digital twins, specialises in uncertainty quantification and performance/health monitoring, and has moved methods from academic grants into industrial consultancy at Frazer-Nash. His PhD in Mechanical Engineering underpins a track record of kernel-based and Bayesian multi-task algorithms for cross-domain damage diagnosis in aerospace and civil structures. Paul has led teams of postdocs and PhD students, run industry-facing projects and training, and brings a pragmatic bent—combining CAE-engineering experience with cutting-edge ML to deliver interpretable, data-informed asset health solutions.
6 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at The University of Sheffield
Contributions:12 pushes, 1 branch in 1 year 11 months
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Paul Gardner - Senior Consultant at Frazer-Nash Consultancy