Dr. Nafise Sadat Moosavi is a Lecturer in Natural Language Processing at the University of Sheffield's School of Computer Science, and a Deputy School Head of ED&I. She holds a PhD from Heidelberg University, with prior postdoctoral research at the Technical University of Darmstadt's UKP Lab. Her research focuses on NLP and machine learning, including end-to-end reasoning, robustness, coreference resolution, text generation, sustainability, and evaluation metrics. Her academic journey includes bachelor's and master's degrees in computer science from Alzahra University and Sharif University of Technology, Iran. She leads projects like the Royal Society-funded 'Geometric Representations of Uncertainty for Foundation Models' (2025–2028). Her work emphasizes ethical AI, bias mitigation, and improving model generalization. Grants: £193,560 Royal Society Grant (PI) for foundational model uncertainty research Research Groups: Member of the University of Sheffield's NLP research group Key Themes: Debiasing NLU models, sustainable NLP practices, and advancing coreference resolution techniques Her publications span 2020–2025, addressing topics like hate speech detection, LLM limitations, and evaluation metric design. She co-organized workshops including SustaiNLP and contributed to datasets like PeerQA and SciGen.





