Fatiha Saïs is a University Professor at Université Paris Saclay and a member of the Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), where she leads the LaHDAK (Large-scale heterogeneous data and knowledge) team. Her research focuses on: data linking and fusion in the Web of Data, error detection and fact validation in knowledge graphs, as well as the discovery of graph rules and patterns in graph data for data linking, link prediction, decision making and the explanation of causal relationships. Her work draws on techniques from several fields: knowledge representation and reasoning, data mining and machine learning. She is currently a board member of the AFIA (Association Française pour l'Intelligence Artificielle) and an active member of the GDR MaDICS on data science and the GDR IA (Aspects Formels et Algorithmiques de l'Intelligence Artificielle). Finally, as a lecturer at Université Paris Saclay, Fatiha Saïs is co-responsible for the GS ISN computer science major at Master level, comprising 15 Master 1 and Master 2 courses, and is co-responsible for the Data Science course.