Mubashara Akhtar

Mubashara Akhtar is a Research Fellow at ETH Zurich (ETH AI Center) and a visiting researcher at the University of Cambridge. She completed her PhD in Natural Language Processing at King's College London under Prof. Elena Simperl and Dr. Oana Cocarascu. Her research focuses on multimodal approaches for fact-checking, AI safety, and benchmarking for large language models. She has held internships at Google DeepMind and contributed to projects like the Croissant dataset documentation format.

• Education: PhD in Informatics (King's College London), MSc and BSc in Computer Science (TU Wien)

Research Interests include multimodal machine learning, knowledge graphs, and ethical AI. Her work bridges NLP, computer vision, and data science to improve automated fact-checking systems and responsible AI practices.

Key awards include the Best Short Paper Award at DEEM 2024 and King’s Research Impact Award for multimodal fact-checking. She actively contributes to conferences like NeurIPS, ACL, and EMNLP, co-leading initiatives such as the FEVER workshop and the Croissant project.