Venelin Kovatchev

Dr. Venelin Kovatchev is an Assistant Professor at the Institute for Interdisciplinary Data Science and AI, with a focus on Natural Language Processing, Computational Linguistics, and Cognitive Science. Their work intersects with educational and academic qualification themes in alignment with UN Sustainable Development Goals.

• Education: Doctor of Science in Computational Linguistics and Natural Language Processing from Universitat de Barcelona (2015); Master of Science in Cognitive Science and Language (2012); Bachelor of Literature in Bulgarian Philology from Sofia University St Kliment Ohridski (2010).

Research spans large language models, named entity recognition, social adjustment analysis, and LLM instruction tuning. Recent work addresses fact-checking, automated scoring, and data disagreement resolution in NLP tasks.

Active in interdisciplinary projects, including Natural language processing of electronic health records to improve empirical prescribing in acute admissions (2023-2027) as Co-Investigator with Shionogi B.V. funding. Contributions include datasets and methodological frameworks for NLP and cognitive science research.