Chris Simpson is Head of Digital Insights with a decade of experience applying AI and cloud infrastructure to real-world engineering problems, currently leading a cross-functional team at Perceptual Robotics that turns wind turbine inspection data into actionable maintenance decisions. He builds and deploys state-of-the-art deep learning pipelines and an online application that helps owners and repair teams prioritise and track repairs to extend asset life. His background blends hands-on computer vision and NDE research—from ultrasound and X-ray diffraction to synthetic data generation—with practical productionisation of models and backend processing systems. Chris has a PhD in Aerospace Materials and a track record of securing research funding and delivering tools (like the pyXe toolkit) used across UK universities, revealing a rare combination of domain expertise and software engineering. Colleagues rely on him to bridge academic rigour with product-focused delivery that directly improves offshore wind reliability.
10 years of coding experience
11 years of employment as a software developer
PhD Aerospace Materials, PhD Aerospace Materials at University of Birmingham
Contributions:2 releases, 100 commits, 88 pushes in 3 months
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Chris Simpson - Head Of Digital Insights at Perceptual Robotics