I am an ISFP researcher (Inria Starting Faculty Position) at the Inria Sophia-Antipolis Centre, working within the I3S laboratory since 2023, and currently part of the MARIANNE team led by Serena Villata.
I completed my PhD in 2021 at IRIT in Toulouse, focusing on the topic "Dealing with Similarity in Argumentation".
Following that, I held a first postdoctoral position (2021–2022) at CNAM Paris (Conservatoire National des Arts et Métiers), in the CEDRIC laboratory, where I worked on MAP inference, i.e. extracting the most probable and consistent set of information, in temporal, uncertain, and inconsistent knowledge graphs. My second postdoctoral position (2022–2023) was at the University of Perugia in Italy, where I focused on temporal and probabilistic argumentation graphs, with an emphasis on the implementation and complexity analysis of novel and efficient computational argumentation algorithms.

My research primarily focuses on argumentation systems, whether abstract, logically structured, or based on natural language text. I am particularly interested in challenges related to knowledge representation, reasoning, explainability, and efficient computation, with the goal of bridging theoretical research and practical applications. This includes both the design of formal models and the development of methods applicable to real-world data. I work on frameworks that can handle uncertainty, incompleteness, temporality, and inconsistency in information.

More broadly, my research areas include: Argumentation, Logic, Knowledge Graphs, Argument Mining, Natural Language Processing (NLP), Explainability, and Neuro-Symbolic AI.

I am currently working on decoding implicit reasoning, computing similarity between textual arguments, developing explainable methods to predict outcomes such as opinion change or persuasiveness in debates, improving the computational efficiency of argumentation algorithms, and designing new semantics better suited to complex and realistic data.

Together with Anthony Hunter, I co-lead the EXPLAINER Inria International Associated Team, in collaboration with University College London (UCL). The aim of this team is to analyze, understand, explain, and decode implicit textual arguments, bridging symbolic reasoning with natural language understanding.