• Disentanglement of DNN latent spaces
  • Matrix factorisation methods (e.g., SVD, NMF) and autoencoder neural networks (e.g., NNSAE, VAE) as a means for extracting interpretable (object) dimensions of DNN activations and pre-trained word embeddings
  • Variational inference
  • Interpretability and Explainability of AI systems


Research Positions

Since 2020: Doctoral candidate / PhD researcher, Vision and Computational Cognition (ViCCo), Max-Planck-Institute for Human Cognitive and Brain Sciences, Germany

2019-2020: Research Assistant (RA), Department of Computer Science (DIKU), University of Copenhagen, Denmark

2017: Research Intern (RI), Department of Neuropsychology, Ludwig Maximilian University (LMU) Munich, Germany

2016-2018: Student Research Assistant (RA), Department of Basic Psychological Research and Research Methods, University of Vienna, Austria


Since 2020: Ph.D. in Computational Cognitive Neuroscience (CCN), Max-Planck-Institute for Human Cognitive and Brain Sciences, Germany

2018-2020: M.Sc. in IT and Cognition (M.Sc. thesis in Computer Science), University of Copenhagen, Denmark

2015-2018: B.Sc. in Psychology (B.Sc. thesis in Cognitive Psychology), University of Vienna, Austria

2012-2015: B.A. in Political Science & Philosophy (B.A. thesis in Political Philosophy), University of Vienna, Austria

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