I have been an Associate Professor at the University of Burgundy since 2007, working in the LIB laboratory within the IEM department. My research focuses on modeling customer behavior in the financial sector and collaborating with the SKAIZen Group on fraud detection using machine learning algorithms.
I hold a Master's and DEA in Computer Science from the University of Montpellier 2, and a PhD from the same university, where I specialized in document annotation and ontology enrichment. I previously held an ATER position at the Faculty of Law, University of Montpellier 1.
My post-PhD research includes query enrichment, community detection, and recommendation systems, with applications in video games and customer relationship management. Currently, I focus on data analysis for intelligent decision-making in the automotive sector.
Objective: Construction of a 360° view of clients and counterparties of a financial institution to optimize fraud detection and sanction controls.
(12/2021 - 11/2023)
Objective: Organization of the INFORSID 2022 congress in Dijon.
Date: 2022
Objective: Establishment of a scientific state of the art.
(02-09/2020)
Objective: Support in the preparation of the CIR file and R&D projects at Skaizengroup. Advice on scientific valorization.
(10/2020 - 06/2021)
Objective: Establishment of a knowledge base to model information resulting from image analyses.
Date: 2008
Objective: Study of data economic models through an interdisciplinary approach. Use of data semantics to optimize the strategy of different actors.
Objective: Modeling, implementation, and evaluation of an open collaborative platform for the dissemination and sharing of musical content. Development of a musical ontology and creation of musicologists' communities.