Dan's field of expertise is data processing and analysis of neuroimaging data. Specifically, he developed and published methods of reconstruction of viewed images from EEG data. He is also an expert in combining data from different neuroimaging modalities, such as fMRI, EEG, and MEG. His primary interest is devising methods of "mind reading", based on machine learning techniques, both for research and translational purposes. Dan is equally comfortable with Matlab and Python, and he also uses R and other mainstream statistical packages.