Isabelle Augenstein

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I am a full professor at the University of Copenhagen, Department of Computer Science, where I head the Copenhagen Natural Language Understanding research group as well as the Natural Language Processing section. I am also a co-lead of the Pioneer Centre for Artificial Intelligence. My main research interests are fact checking, low-resource learning and explainability.

Before starting a faculty position, I was a postdoctoral research associate in Sebastian Riedel's UCL Machine Reading group, mainly investigating machine reading from scientific articles. Prior to that, I was a Research Associate in the Sheffield NLP group, a PhD Student in the University of Sheffield Computer Science department, a Research Assistant at AIFB, Karlsruhe Institute of Technology and a Computational Linguistics undergraduate student at the Department of Computational Linguistics, Heidelberg University.

I currently hold a prestigious ERC Starting Grant on 'Explainable and Robust Automatic Fact Checking', as well as the Danish equivalent of that, a DFF Sapere Aude Research Leader fellowship on 'Learning to Explain Attitudes on Social Media'. I am a member of the Danish Young Academy, a unit under the Royal Danish Academy of Sciences and Letters. I am also the Vice President of SIGDAT which organises the EMNLP conference series, a co-founder of Widening NLP (WiNLP), and maintain the BIG Directory of members of underrepresented groups and supporters in Natural Language Processing.

For more information, please see my personal website.