- Online Fair Division with Additional Information
- Reconfiguring Proportional Committees
- Proportional Clustering, the β-Plurality Problem, and Metric Distortion
- Candidate Monotonicity and Proportionality for Lotteries and Non-Resolute Rules (Accepted at Social Choice and Welfare, 2025. Forthcoming.)
- Committee Monotonicity and Proportional Representation for Ranked Preferences (In Proceedings of the 26th ACM Conference on Economics and Computation (ACM-EC), 2025.)
- Proportional Multiwinner Voting with Dynamic Candidate Sets (In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025. Forthcoming)
- Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections (In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI), 2025)
- Verifying Proportionality in Temporal Voting (In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI), 2025)
- Proportional Fairness in Clustering: A Social Choice Perspective (In Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS), 2024)
- Can a Few Decide for Many? The Metric Distortion of Sortition (In Proceedings of the 41st International Conference on Machine Learning (ICML), 2024)
- Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting (In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024)
- Robust and Verifiable Proportionality Axioms for Multiwinner Voting (Proceedings of the 24th ACM Conference on Economics and Computation (ACM-EC), 2023)
- Quantifying Core Stability Relaxations in Hedonic Games (In Proceedings of the 48th International Symposium on Mathematical Foundations of Computer Science (MFCS), 2023)
- Margin of Victory for Weighted Tournament Solutions (In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023)
- Proportionality Guarantees in Elections with Interdependent Issues (In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023)
- Proportionality in Approval-Based Participatory Budgeting (In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023)
- Approval-Based Voting with Mixed Goods
Research Experience
PostDoc: NUS, Collaborator: Warut Suksompong
Education
PhD: TU Berlin, Advisor: Markus Brill; Master's: HPI Potsdam
Background
Currently a PostDoc at NUS working with Warut Suksompong. Before this, he finished his PhD at TU Berlin, working with Markus Brill. He also got a master’s degree from HPI in Potsdam. Personally interested in all sorts of topics in Computational Social Choice, in particular, multiwinner voting and the study of proportionality.