About me

I am a PhD candidate at LIP6 , Sorbonne Université, where I work within the SMA (Multiagent Systems) and Decision teams under the supervision of Nawal BENABBOU , Aurélie BEYNIER , Nicolas MAUDET .

My research is in Computational Social Choice , a field at the intersection of computer science, mathematics, and economics that studies how to make collective decisions in a principled and algorithmic way. It encompasses a wide range of problems such as voting, fair allocation, matching, and judgment aggregation.

I focus in particular on fair division, which studies how to allocate resources among agents or groups in a fair manner. My PhD work introduces a new framework called Multilevel Fair Allocation, designed to handle fairness in hierarchical structures. This setting captures situations where fairness must be ensured simultaneously across multiple levels (e.g., fairly distributing vaccines across the world).

I am also particularly interested in bridging the gap between theoretical fair division and practical, real-world applications. These include fair course allocation at universities, fair task allocation and scheduling in space applications, and the distribution of food by charitable organizations.

More broadly, I am interested in decision theory, operations research, and network science. Feel free to reach out if you would like to discuss these topics.

Background