I am a third-year PhD student at the University of Copenhagen supervised by Professor Isabelle Augenstein. Before joining the CopeNLU group I’ve completed the MSc in Statistics at the Humboldt University of Berlin. Before that, I’ve obtained a Bachelor of Science in Economics also at the Humboldt University of Berlin. I’m a member of Rycolab at ETH Zürich co-supervised by Ryan Cotterell.
My PhD work focuses on gender bias detection in cross-lingual setups and interpretability. My primary research interests are bias and fairness in NLP, interpretability, and statistical methods.
Besides, prior to starting my PhD I have worked as a data science consultant for Deloitte Analytics Institute.
- NAACLSame Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained ModelsIn Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2022
- PLOS ONEQuantifying Gender Biases Towards Politicians on RedditPLOS ONE 2022
- A Latent-Variable Model for Intrinsic ProbingArXiv 2022
- A Survey on Gender Bias in Natural Language ProcessingArXiv 2021
- Quantifying Gender Bias Towards Politicians in Cross-Lingual Language ModelsArXiv 2021