Isabelle Augenstein
Isabelle Augenstein
(/ˌɪːzabˈe̞l ˈaʊ̯ɡe̞nʃˈtaɪn/)
Copenhagen NLU group

Østervold Observatory
Øster Voldgade 3
1350 Copenhagen
Denmark
email: augenstein@di.ku.dk

           

I am a full professor at the University of Copenhagen, Department of Computer Science, where I head the Copenhagen Natural Language Understanding research group, the Natural Language Processing section, and co-lead of the Danish Pioneer Centre for Artificial Intelligence. My main research interests are fair and accountable NLP, including challenges such as explainability, factuality and bias detection.

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'. Since 2024, I am a member of the Royal Danish Academy of Sciences and Letters. I am also 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 details, see my publications and CV. More information on how to join us in Copenhagen can be found here.

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