I am Full Professor (tenured) at the Aix-Marseille Institute of Technology and Researcher at the Computer Science and Systems Laboratory (LIS – Laboratoire d’Informatique et Systèmes – UMR 7020).

My research is mainly focused on data science (a subfield of Artificial Intelligence). In the past, I mainly worked on pattern mining. The main objective of pattern mining is to extract hidden patterns in complex data (heterogeneous, volumous, noisy, etc.). I have studied various types of patterns (sets, sequences and graphs), most of them being related to spatio-temporal data (e.g. time series of satellite images).

Lately, I am interested in developing innovative methods and tools for data-centric AI. This paradigm recognizes that the performance of AI systems relies not only on models but also on how data is collected, prepared, and explored. Currently, I am working in particular on representation learning (program embeddings) and agent learning in Agent Based Models.

I am a member of the Data Science department and more particularly of the Data Centric AI (DCAI) team, of which I am one of the co-leaders. I have participated to several interdisciplinary research projects dealing with various questions s.t. soil erosion, dengue fever spread, urban growth or education.