Rafael Reisenhofer

Enrique-Schmidt-Str. 5
Cartesium, Room 2.047
28359 Bremen

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I am a postdoctoral researcher at the Cognitive Systems Lab and affiliated with the DFG Graduiertenkolleg KD2School in which we investigate the design of adaptive IT systems for economic decision-making.


At the KD2School, I am responsible for the conceptualization, implementation and integration of lab linking models that aim at providing the members of the KD2School with a joint experimental environment that encompasses all technical and methodological resources that are available at the involved labs in Karlsruhe, Bremen and Gießen. The main goal behind lab linking is to facilitate previously impossible experimental designs in which participants, sensors and devices can interact synchronized and in real-time across locations that might be hundreds of kilometres apart from each other.


I obtained a PhD in applied mathematics at the University of Bremen under the supervision of Prof. Emily King. Prior to joining the CSL and the KD2School, I was the principle investigator of the FWF Lise Meitner project “Depth and discriminability in deep learning architectures” and a postdoctoral researcher at the Mathematical Data Analysis Group of Prof. Philipp Grohs at the University of Vienna. My research focuses on interdisciplinary projects which require the application of complex mathematical concepts and models in applied areas of research. This includes works on such diverse topics as perceptual image similarity, visual servoing (robotics), deep learning-based quantum Monte Carlo (computational chemistry), and the forecasting of financial time series with convolutional neural networks.

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