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., within and between groups), a challenge that remains largely unexplored in the literature.

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

• Since 2024: PhD in Computer Science in Fair Allocation & Computational Social Choice at LIP6 , Sorbonne Université, Paris, France.

  PhD thesis on Multilevel Fair Division under the supervision of Nawal BENABBOU , Aurélie BEYNIER , Nicolas MAUDET .

• 2023-2024: Master’s Degree in Operations Research at Université Paris-Dauphine-PSL.

• 2022-2023: Master’s Degree in Economics at the Paris School of Economics.

• 2019-2022: Bachelor’s Degree in Economics at Université Paris-Dauphine-PSL.