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Region Hovedstaden - en del af Københavns Universitetshospital
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functional brain imaging, machine learning, brain connectivity, causal modelling, signal processing, magnetic resonance imaging, electroencephalography, transcranial brain stimulation, Bayesian statistics.

Primære forskningsområder

My research interests are mainly focused on modeling and analysis of neuroimaging data, such as electroenchalography (EEG), (functional) magnetic resonance imaging ((f)MRI), transcranial magnetic/current stimulation, eye-tracking and behavioral variables. The research span from application of existing analysis methods in neuroimaging experiments to the development of novel machine learning methods for the analysis of neuroimaging data and simulation/modeling of electromagnetic fields in brain stimulation methods.

Aktuel forskning

My current research is concerned with analysis of neuroimaging data using machine learning techniques. In particular, a current focus area is modelling of effective connectivity/causal relations from neuroimaging data, we here aim to perform state informed interventions via brain stimulation to enable causal discovery in brain imaging data.

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