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At the heart of my academic interest lies the field of Neuroscience and Education, which aims to uncover mechanisms of learning and instruction from a neuroscientific perspective. My own research focuses on questions such as how the human brain represents numerical information – for instance symbolic and non-symbolic numerical quantities – over developmental time and how individual differences in the neural correlates associated with numerical processing map onto mathematical achievement. In order to pursue these goals I use a variety of neuroscientific methods such as functional Magnetic Resonance Imaging (fMRI), Electroencephalography (EEG) and transcranial Direct Current Stimulation (tDCS).