Resume
Academic Achievements
- Through extensive evaluations of both the output behavior and internal processes of current LLMs in reasoning scenarios, his work seeks to enhance our understanding of reasoning in LLMs.
Research Experience
- Before pursuing his Ph.D., he gained experience in industry working as an AI engineer.
Education
- Master's Degree: Systems, Control, and Robotics from the Royal Institute of Technology (KTH), Stockholm; Bachelor's Degree: Engineering Science from the Technical University of Munich (TUM). Advisor: Prof. Dr. Barbara Plank.
Background
- Research Interests: Reasoning in large language models; Professional Field: Artificial Intelligence and Natural Language Processing; Brief Introduction: A second-year Ph.D. student at the Munich AI & NLP Research Lab (MaiNLP).
Miscellany
- Feel free to contact him if you have questions or are interested in collaborating on research projects.