Micheal Davies

Micheal Davies is a Professor of Signal and Image Processing at the University of Edinburgh and a Visiting Professor at the Laboratoire de Physique (LPENSL) at ENS Lyon (2023-2024). His research focuses on sparse representations, compressed sensing, machine learning, and inverse problems. He holds a First-Class Honours degree in Engineering from the University of Cambridge (1989) and a PhD in Nonlinear Dynamics from University College London (1993).

His collaboration with the SiSyPh team at ENS Lyon centers on self-supervised deep learning methods for scientific imaging. Key contributions include advancing theoretical frameworks for inverse problems and algorithmic strategies in imaging. He delivered talks at the MLSP seminar and lectures for master's students in physics and computer science.

• Awards: Fellow of the Royal Academy of Engineering (2017), Fellow of the Royal Society of Edinburgh (2018).
• Research Impact: Pioneered work in compressed sensing for MRI and sparse signal processing.

His visit strengthens interdisciplinary research at ENS Lyon, bridging physics, AI, and signal processing. Current projects with J. Tachella aim to eliminate ground-truth data reliance in scientific imaging.