🧑 Pape Ibrahima THIAM
📍IRIT – Toulouse (France) / INRAE Montpeller (France)
We are pleased to introduce Pape Ibrahima Thiam, a highly skilled data scientist joining the AI4AGRI project in collaboration with the O3T project. Pape holds a Master’s degree in Artificial Intelligence and Big Data from the École Supérieure Polytechnique de Dakar (ESP), with a focus on deep learning models for monitoring land use changes from satellite imagery. His extensive experience in applying AI technologies spans various domains, including satellite image analysis, soil carbon stock prediction, and land use classification. Pape has demonstrated strong expertise in machine learning, deep learning, and full-stack development, with proficiency in technologies such as Python, TensorFlow, and Google Earth Engine. His recent contributions include developing AI platforms for agricultural monitoring and environmental analysis, making him an invaluable addition to our team as we advance spatio-temporal data integration for Earth observation in agriculture.
Pape Ibrahima Thiam will be working on integrating spatio-temporal data with AI models to enhance the identification of actors, events, and dynamics in agricultural systems. His focus will include developing methods to process and analyze multimodal data, such as satellite imagery, for monitoring land use changes and predicting environmental patterns. Additionally, he will contribute to improving the representation of spatio-temporal relationships and validating agricultural dynamics using Earth observation data, supporting the AI4AGRI project’s goal of advancing AI-driven insights in sustainable agriculture.