Jakab Buda graduated in Survey Statistics and Data Analytics MSC at Eötvös Loránd University, Faculty of Social Sciences in 2020. He wrote his thesis on recurrent neural network based language models and their application in text classification with the supervision of Márton Rakovics. As a freelance data scientist he participates in machine learnings projects. His academic interests are the application of machine learning based NLP methods and the interpretability of ML models. Recently he participated in several NLP projects, for example in the PAN 2020 author profiling shared task to identify fake news spreaders on Twitter where his team’s submission turned out to be a tie for the first place.