I am a postdoctoral researcher at the Empirical Inference department directed by Prof. Bernhard Schölkopf, more specifically working within the Computational Imaging Group lead by Michael Hirsch.
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.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems