Rafael Kupsa, MSc
Junior Resercher
Rafael Kupsa is a graduate of the Ludwig Maximilian University of Munich, where he studied for a Master’s degree in Computational Linguistics. His Master’s thesis was on Deep Learning for resource-poor languages. He currently works as a researcher in the Data Science Studio with a focus on Natural Language Processing. He is adept at applying both classical and modern machine learning-based language processing methods. His professional interests include linguistic diversity and typology, as well as current developments in the language processing and generation scene.
