Computer vision and computational models of biological vision share a common, fruitful history. Many modern and successful computer vision models share fundamental principles with visual information processing in the brain, and it can be argued that there is still much to learn from biological systems, especially in terms of scale, speed, and efficiency. My research is thus positioned at the intersection of various fields including deep learning for computer vision, neuromorphic computing and neuroscience. Specifically, I am interested in biologically-inspired computer vision, deep network models of biological circuits and spiking neural networks.
I received my PhD in computational neuroscience from University of Bremen, Germany and have worked as a postdoctoral researcher in the Computer Vision Lab at the Delft University of Technology, Netherlands.
Publications on Google scholar: https://scholar.google.com/citations?user=6vcKI6MAAAAJ