About
Joe is a PhD researcher in Chemical Engineering applying machine learning and artificial intelligence to improve manufacturing operations. His research focuses on predictive maintenance and production scheduling, developing AI-powered optimisation approaches that use manufacturing data to support operational decision-making and improve system performance.
Before starting his PhD, he studied Computer Science and Mathematics, developing an interest in using computational and mathematical approaches to solve real-world problems. His current research builds on this background, applying these skills to chemical engineering and manufacturing to develop practical AI-driven solutions.