David’s research focus is on applying machine-learning techniques and statistical signal processing methods to psychological questions, modeling and formalizing exposure therapy, and applying rt-fMRI based neurofeedback to train brain-states with dynamic paradigms.

Past research focused on adaptive (bio-) signal processing and machine learning, with application to simultaneous EEG-fMRI and EEG based Brain-Computer Interfaces.