Anaëlle Wilczynski

Anaëlle Wilczynski is a Researcher affiliated with the Laboratory Mathematics and Computer Science for Complexity and Systems. Her work focuses on computational social choice, algorithmic fairness, and multi-agent systems. She has extensively contributed to fair division problems, strategic voting mechanisms, and resource allocation in social networks. Her research bridges theoretical computer science with practical applications in decision-making frameworks.

Key research interests include fairness in resource allocation (house allocation, rent division), strategic voting behavior, coalition formation, and distributed resource reallocation. She frequently collaborates on interdisciplinary projects involving game theory, social network analysis, and optimization algorithms.

Recent work emphasizes iterative voting dynamics, envy-freeness in allocations, and the impact of social network structures on decision processes. Her publications span conferences like National Conference on Artificial Intelligence and specialized journals in computational social choice.

• Education details not explicitly stated in texts
• No awards listed in provided materials
• Led the 2018 thesis on agent interactions through social networks
• Co-organized national AI conferences (2022-2024)

Labs/Teams: Core member of the computational social choice research group within her lab, focusing on algorithmic fairness and multi-agent systems design.