Welcome!

I am currently a postdoctoral researcher in KTH Royal Institute of Technology, Stockholm, Sweden, working with Tobias Oechtering and Martina Scolamiero on privacy, and particularly pointwise maximal leakage, while using concepts from quantitative information flow. We also tackle some problems at the intersection of privacy and topological data analysis. I am especially interested in the theoretical aspects of privacy, but also in its relations with other ethical properties like frugality, robustness, fairness.

Last year, I worked as a postdoc in Macquarie University, Sydney, Australia, with Annabelle McIver and Mark Dras on privacy techniques (differential privacy, pointwise maximal leakage) with application to textual data.

In 2024-2025, I did a postdoc in Optimix team in LIX (Laboratoire d’Informatique de l’Ecole Polytechnique), Palaiseau, France, where I worked with Catuscia Palamidessi and Sonia Vanier, in a partnership with Crédit Agricole (French bank), on data privacy in machine learning, especially differential privacy.

Previously, I did my PhD between 2020 and 2023 in CEA List, Gif-sur-Yvette, France, under the direction of Renaud Sirdey and the cosupervision of Cédric Gouy-Pailler. We proposed approaches that combine differential privacy and homomorphic encryption to protect the training data privacy in collaborative machine learning (federated learning, PATE) from any stakeholder (server, end-users, other data owners).

Before my PhD, I worked as a research engineer in LIP6, Paris, France, in 2019, under the supervision of Nicolas Maudet, Patrice Perny and Paolo Viappiani, in the area of computational social choice. We proposed and studied a voting rule suited for the situations where some candidates may turn out to be unavailable after the vote.

Before this, I entered research working in CEA List, Gif-sur-Yvette, France, for C-BORD project, under the supervision of Jean-Philippe Poli, between 2017 and 2018. I designed an explainable classification algorithm dealing with imprecise inputs thanks to fuzzy decision trees.

Main research interests

• data privacy
• quantitative information flow
• collaborative machine learning
• frugal machine learning
• computational social choice