Paul’s research focuses on natural language processing (NLP) methods for detecting online hate speech. He has worked on new techniques for evaluating hate speech detection models, on accounting for language change in NLP models and on managing data annotation for subjective NLP tasks. His wider research interests are in incorporating context (e.g. conversational, social, temporal) as well as subjective perspectives into language modelling.
As part of his DPhil research, Paul has completed research visits to the Alan Turing Institute in London and Bocconi University in Milan, where he worked with Prof Dirk Hovy. Prior to joining the OII in 2019, Paul completed his MPhil in Finance and Economics at the University of Cambridge, where he received a distinction for his thesis using machine learning methods to predict local voting behaviour from online political participation. He also holds a BSc in Economics from Ludwig-Maximilians-University in Munich, Germany.