I am a PhD student at the Donders Institute for Brain, Cognition and Behaviour in Nijmegen and a member of the research group Artificial Cognitive Systems lead by Marcel van Gerven.
My research area is neural coding, in particular the similarities between representation hierarchies learned by convolutional neural networks and by biological visual systems. For studying these representations we usually use encoding models and RSA.
As this research provides us with maps of of sensory feature detectors in the brain, one side result is improved ability to reconstruct perception, and maybe someday imagery and other content from brain activity. These advances are both fascinating and of concern.
I am interested in open knowledge and open science movements. I believe that we can fix some things by full-time employing peer reviewers; and by building a database of networked publications with info on whether they were reproduced, or whether there is new research on their underlying methods.
I will gladly share research code and data. Data and code sharing is common in machine learning but sadly not yet in neuroscience. The Donders Institute has recently established a policy that all data and code will be shared upon publication.
Education / experience
During university I have done lab rotations at CiNet, Berlin-BCI, TU Berlin ML group (thesis), hayneslab, MPI-MIS, Vernetzte Medien (thesis), Cybermedia Center and others. I used to work as a student assistant at the WebIS group and at DLR Asteroids & Comets (German Space Agency), as an ML intern for Datameer (Bay Area office) and as a localisation tester for Rockstar Games Lincoln. You can find my full CV here.
I have been tutoring in the undergraduate courses Artificial Neural Networks, Python for AI and Scientific Writing.
Publications with my contributions can be found on my Google Scholar profile.
I have written for MindCodec.
Contactkatj posteo de (PGP key, vCard)
I visit Amsterdam, Berlin, Leipzig and the Chaos Communication Congress regularly. Please let me know if you would like to grab a coffee / Club Mate.