Published papers such as 'CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process' and co-corresponding author of 'Webpilot: A versatile and autonomous multi-agent system for web task execution with strategic exploration'.
Research Experience
Currently a lecturer at CIS LMU, teaching the course 'From Large Language Models to AI Agents'; serves as a group leader at the TRESP Lab, supervising Ph.D. students and leading research on LLMs, multimodal models, and agentic AI; collaborates closely with academic and industrial partners, including Prof. Hinrich Schütze, Prof. Volker Tresp, etc.; supervises several industry-funded Ph.D. students from Siemens, Huawei, and Bosch, etc.
Education
Ph.D. in Computer Science from LMU Munich under the supervision of Prof. Volker Tresp, focusing on relational learning, cognitive modeling, and quantum AI; previously conducted research in theoretical physics at the Max Planck Institute for Physics.
Background
Research interests include developing intelligent systems that integrate memory, reasoning, and multimodal understanding to act autonomously in open-ended environments. The goal is to develop foundation models and agentic systems that continually learn, collaborate, and adapt to complex, real-world tasks.
Miscellany
Invited to give a talk on Multiagentic Systems at the Huawei Munich Wireless Summit 2025; started teaching the course 'From Large Language Models to AI Agents' at CIS LMU Munich in the Summer Semester 2025; honored to serve as Guest Editor for the upcoming Special Issue on 'Multi-Modal AI Systems and Multi-Agent Systems' in the journal 'Electronics' (Impact Factor: 2.6).