About me
After completing my master's degree in computer science at the Technical University of Berlin, I joined the group at the start of 2025 as a PhD student. I am interested in using the methodological toolbox of computational social choice to develop principled, theoretically-grounded ways to audit and improve fairness in AI and algorithmic decision making. Currently, I am working on methods for auditing proportional representation in subset selection problems.
Presentations & Posters
- I presented a poster on our work on Explanation Systems for Approval-Based Multiwinner Voting at the workshop on Fair and Explainable Collective Decision (Orsay). [Poster]
- I presented a poster on our work on Fair Allocation with Initial Utilities at the COMSOC 2025 workshop (Vienna) and the 3rd Amsterdam/Saint-Etienne Workshop on Social Choice (Amsterdam). [Poster]
- I presented our paper Equilibria in Schelling Games: Computational Hardness and Robustness, based on my bachelor's thesis, at AAMAS 2022. [Talk]