I am a researcher at the intersection of data integration, knowledge representation, and data science. My research examines how fragmented observations become coherent knowledge, enabling structured reasoning across heterogeneous data. I contribute to advancing data-intensive science by supporting more reliable understanding of geographic phenomena and environmental systems, and more informed, evidence-based decision-making.

My research lies at the intersection of geospatial data integration, knowledge representation, and environmental data science.  My work explores how heterogeneous observations and scientific knowledge can be reconciled into coherent representations of geographic phenomena, including ecological dynamics. I develop geospatial data infrastructures that transform fragmented data into interpretable systems, enabling consistent reasoning across multi-modal, spatio-temporal biodiversity data.

I have over 400 hours of teaching experience in the Department of Computer Science at the Naval Academy Research Institute (France). My teaching covers spatial data analysis, GIS, databases and web development, as well as C++ programming, combining theoretical foundations with practical, application-oriented learning.