Speech, Language and Cognition in
Brains, Minds and Machines
From Physics to Neuroscience to Artificial Intelligence.... and back
Welcome to my personal website!
I am physicist, neuroscientist, cognitive scientist and AI researcher, and I am currently working as a postdoctoral researcher and lecturer at the Friedrich-Alexander-University Erlangen-Nuremberg (FAU) .
My research interests are at the intersection of speech & language, cognitive & computational neuroscience, theoretical physics & complex systems, machine learning and artificial intelligence.
cognitive neuroscience: speech perception, language representation and processing in artificial neural networks and the brain; auditory (phantom) perceptions, hearing disorders, tinnitus, hyperacusis, pathological speech
computational neuroscience: deep artificial neural networks for modeling brain function and biologically plausible computational models of cognition
neuroimaging: MEG, EEG, fMRI and invasive cortical recordings during continuous speech perception and prodcution
machine learning, data science: analysis and visualization of high-dimensional, massively multi-variate and multi-modal neuroimaging data
explainable AI: application of neuroscience methods and development of novel methods to address the black box problem of AI, i.e. analysis, reverse-engineering, visualization and interpretation of neural networks
theoretical and physics-inspired neuroscience: investigation of structural and dynamical properties of recurrent neural networks (RNNs) with methods and concepts from theoretical physics (information theory, dynamical systems and chaos theory, random matrix theory, theory of complex systems, network and graph theory)
neuroAI (neuroscience-inspired AI): transfer of information processing principles from neuroscience to machine learning and AI systems
