Research

My main interest is in developing novel methods for the analysis of MEG and EEG data with applications in cognitive neuroimaging. My scientific contributions include signal processing, source reconstruction, connectivity analysis and statistical analysis. Furthermore, I am interested in improving the methodological aspects of cognitive neuroimaging at the meta level: I contribute to the dissemination of state-of-the-art analysis methods by developing open-source software, by data sharing and by organizing educational and scientific workshops.

My contributions to the methodological advancement of the field of non-invasive electrophysiology are exemplified by FieldTrip, a project that I started about 10 years ago and that I have been heading since. To strengthen the MEG and EEG research community, I am not managing FieldTrip only as a data analysis toolbox, but also as a platform for the exchange of ideas and expertise.