Michael Sejr Schlichtkrull

Michael Sejr Schlichtkrull is a Lecturer at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on automated reasoning using large language models (LLMs) and NLP systems for fact-checking and handling complex epistemological challenges, with a focus on integrating structured data sources like knowledge graphs, tables, and parse trees into verification workflows.

His academic journey includes a PhD in Natural Language Processing from the University of Amsterdam (2021) and postdoctoral research at the University of Cambridge and Fitzwilliam College, where he developed automated fact verification systems under Andreas Vlachos.

Research trends include cross-format verification (tables/web evidence), GNN interpretation, and improving question answering systems through unified knowledge representations. Recent work explores claim decontextualisation and diversity evaluation in NLP generation.

Scientific Awards:

• Best student research paper at ESWC, 2018
• Best paper at CogInfoCom, 2015