Thomas Hazlehurst

Thomas Hazlehurst

Profile

I am a Research and Innovation Fellow at the University of Leeds, specialising in the application of artificial intelligence and machine learning to real-world scientific and engineering challenges. I hold a PhD in Applied Mathematics and have extensive experience in developing AI-driven solutions for complex problems across multiple disciplines.

My research focuses on applying computer vision and deep learning to extract meaningful insights from complex data, such as reconstructing 3D structures from 2D images and optimising industrial processes. Currently, as part of the NAPIC project, I am using AI techniques to explore alternative protein sources, contributing to innovations in food security and sustainability.

I have applied AI methodologies in a variety of domains, including materials science, process engineering, and food technology, developing techniques for object detection, graph neural networks, and part similarity matching. My work bridges machine learning and applied sciences, driving new approaches to data-driven decision-making, automation, and optimisation.