Hi, I'm Emilien, a PostDoc Researcher at KTH, Royal Institute of Technology.

I am a Machine Learning Researcher with a PhD in Engineering. I specialise in deep learning methods for inverse problems and Computed Tomography (CT). I have a proven expertise in developing novel neural network architectures and training procedures, and contributing to open-source scientific software.

I am the current co-developer of the Operator Discretisation Library and work on improving the generalisation of CT image-reconstruction neural networks using geometric deep-learning. Before that, I completed a Postdoctoral Position at Cambridge University, where I worked on X-ray Computed Tomography for medical imaging.

I have a PhD in Engineering from the University of Southampton. I focused on integrating prior knowledge into X-ray CT using Machine Learning. During my PhD, I also worked as a Research Assistant at Bristol University School of Economics, developing AI-based computer vision tools to detect landmarks from 19th-century Ordnance Survey maps.

I have reviewed papers for IEEE Transactions on Medical Imaging and IEEE Transactions on Computational Imaging. 

On the side, I also developed PolyHex, a Python library providing a machine-learning interface to hex-based games and structures.

When I'm not coding, I enjoy lifting weights and writing about beavers 🦫