Bio

Since April 2025, I am pursuing a PhD under the supervision of Prof. Bichler at the Chair of Decision Sciences & Systems.

Education

• since 04/2025: PhD Informatics, Technical University of Munich
• 10/2024 – 03/2025: Research and Exchange Semester, University of Oxford, UK
• 04/2023 – 03/2025: M. Sc. Informatics, Technical University of Munich
• 09/2022 – 03/2023: Research and Exchange Semester, University of British Columbia, CA
• 10/2020 – 03/2023: B. Sc. Mathematics, University of Passau
• 10/2019 – 03/2023: B. Sc. Computer Science, University of Passau

Work experience

• 07/2023 – 09/2024: Working Student Product Management and Business Analytics, Paessler GmbH
• 08/2022 – 03/2023: Student Assistant Software Development, Open Graph Drawing Framework, University of Passau
• 05/2020 – 06/2022: Student Assistant Software Testing CodeDefenders, University of Passau
• 10/2020 – 02/2022: Teaching Assistant “Programming I”, University of Passau
• 04/2021 – 07/2021: Teaching Assistant “Algorithms and Data Structures”, University of Passau
• 10/2020 & 10/2021: Teaching Assistant Math Bridging Courses, University of Passau

For further details, please refer to my LinkedIn profile.

Research Focus

AI in Markets

My research focuses on the intersection of artificial intelligence and markets, with a particular emphasis on how learning dynamics shape competitive behavior. I am especially interested in combining theoretical models with empirical analysis to better understand real-world market outcomes. My work includes projects such as studying learning equilibria in the competitive newsvendor problem and evaluating the performance of large language models in Bertrand competition settings, reflecting a broader goal of bridging economic theory and data-driven insights.

Publications

Visualization of Bipartite Graphs in Limited Window Size
William Evans, Kassian Köck, and Stephen Kobourov
49th Intl. Conference on Current Trends in Theory and Practice of Computer Science (SofSem). Springer, 2024