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Personal profile

Research and teaching information

My research interest is located in between artificial intelligence, cognitive psychology, and computational neuroscience. Here, I aim to understand the computational principles underlying brain function but also to utilise them in developing AI systems. In particular, I study the processes and mechanisms in the brain that form representations in temporally dynamic composition and decomposition as well as in multi-modal integration. As a central approach, I develop computational cognitive models such as artificial neural networks with plausible timescale mechanisms and probabilistic learning schemes on tasks and phenomena in music and language processing, neurodiversity, and cognitive development. These models have practical applications in machine learning, natural language processing, and data science as inductive biases in AI frameworks, and implications for cognitive science as priors and constraints in models of sequence generation, sequence prediction, and compositionality.




Education and training