Prof Yulan He
Professor in Natural Language Processing
Position: Professor of Natural Language Processing
Specialization: Large Language Models, Model Interpretability, AI for Pharmacovigilance
Affiliation: King's College London
Biography
Yulan He is a Professor in Natural Language Processing at King's College London and a Turing AI Fellow. Her research focuses on addressing the limitations of Large Language Models (LLMs), aiming to enhance their reasoning capabilities, robustness, and explainability.
She has published over 300 papers on topics such as LLM reasoning, model interpretability, and LLMs for pharmacovigilance event extraction and radiology report generation.
Key Research Areas
- Large Language Models (LLMs) reasoning capabilities
- Model robustness and explainability
- Model interpretability
- LLMs for pharmacovigilance event extraction
- Radiology report generation using LLMs
- Natural Language Processing in healthcare
Research Focus
Professor He's research is dedicated to addressing the fundamental limitations of Large Language Models, with particular emphasis on enhancing their reasoning capabilities, improving robustness, and increasing explainability. Her work bridges the gap between advanced NLP techniques and practical healthcare applications.
Academic Achievements
- Published over 300 peer-reviewed papers
- SWSA Ten-Year Award
- CIKM Test-of-Time Award
- AI 2000 Most Influential Scholar Award Honorable Mention in 2020 by AMiner
- Recognized as an inaugural Highly Ranked Scholar by ScholarGPS
Prizes and Awards
Professor He has received several prestigious prizes and awards for her research contributions, including the SWSA Ten-Year Award and CIKM Test-of-Time Award. In 2020, she received the AI 2000 Most Influential Scholar Award Honorable Mention from AMiner and was recognized as an inaugural Highly Ranked Scholar by ScholarGPS, highlighting her significant impact on the field of natural language processing and artificial intelligence.
Professional Roles
- Professor of Natural Language Processing at King's College London
- Turing AI Fellow
- Leading researcher in LLM applications for healthcare