Previously, he was a research fellow at the Research Institute for Linguistics of the Hungarian Academy of Sciences and earlier a research assistant at the Department of Cognitive Science of the Budapest University of Technology and Economics, where he received his PhD in psycholinguistics in 2013. He earned his M.A. degrees in English and German language and literature from Eötvös Loránd University, Budapest in 2006.
His research focuses on psycholinguistics, cognitive linguistics, semantics and pragmatics, the understanding of exhaustivity in wh-phrases, and isolating language disorder using machine-learning approaches. His wider research interests include interdisciplinary work and the application of advanced statistical methods to linguistic data. He has worked with EEG, eye-tracking and behavioral methods.
For publications, please see