I am a postdoctoral researcher at the Empirical Inference department directed by Prof. Bernhard Schölkopf, more specifically working within the Computational Imaging Group.
Before this, I spent some time having fun and doing my PhD somewhere in between the TNT Lab of Leibnitz Universität Hannover and Technicolor R&I.

My research interests include super-resolution, machine learning and manifold learning. In a broader sense, I am interested in any model that allows us to dissect, analyze and play around with the digital image formation process.

Until I fully update this space, please visit my personal website for a full publication list and code releases.

Image Processing Super-Resolution Machine Learning Inverse Problems Computational Imaging