Laure Berti-Equille

Laure Berti-Equille is a Research Director (DR1) at IRD, the French Research Institute for Sustainable Development. Before, she was a Full Professor in Computer Science at Aix-Marseille University (France), a senior scientist at Qatar Computing Research Institute (Qatar), an associate professor at University of Rennes 1 (France), and a 2-year visiting researcher at AT&T Labs Research in New Jersey (USA), as a recipient of the prestigious European Marie Curie Outgoing Fellowship. In 2022, she was a visiting scientist at Massachusetts Institute of Technology LIDS (Laboratory for Information & Decision Systems). Her current research interests are on the inter-play of data management, data analytics, and machine learning with a focus on anomaly detection, data cleaning and preparation, and multimodal data fusion and learning with main applications in medical and environmental domains in-line with SGDs. She is co-leading the international joint lab IDEAL with the Federal Univ. of Paraíba (Brazil) dedicated to AI for Agroecology. She has more than 180 publications in major conferences or journals along with 3 books, 10 chapters, and 13 co-edited proceedings. She has co-organized numerous workshops on data quality in conjunction with top conferences such as SIGMOD, VLDB and AAAI (2025). She has given many tutorials and keynote talks on data analytics and engineering for applied machine learning (KDD'22 & '21, ICDE'18 & '16, CIKM'15, KDD'09, ICDM'09). She served in numerous program committees of international conferences and was an Associate Editor of the VLDB Journal and the ACM Information and Data Quality Journal. She has been leading projects funded by the French National Agency of Research (ANR), the French National Research Council (CNRS), Belmont Forum, and the European Union. She is a IEEE and ACM senior member and ELLIS society member.