Emilien Valat is a PhD candidate in Engineering at the University of Southampton and a former Enrichment Student at The Alan Turing Institute. His research focuses on applying machine learning to enhance X-ray computed tomography (CT) imaging, aiming to improve image quality while reducing radiation exposure. Additionally, he develops image processing tools for feature detection in black-and-white maps to study urban growth in England. ​

Emilien holds a Master’s degree in Optical Engineering from France and has served as a Research Associate in the Department of Economics at the University of Bristol. His interdisciplinary expertise spans neural networks, pattern recognition, and biomedical imaging. ​ Turing Institute

During his time at The Alan Turing Institute, Emilien contributed to projects that integrate shape priors into CT imaging using machine learning. His work aims to advance medical imaging techniques and provide tools for analyzing urban development patterns.