Laure Berti-Equille                             Research Director


  Research Focus

I am a Research Director in Data Analytics at IRD, the French research institute on Sustainable Development and my research is focused on designing methods, algorithms, and systems that assist the users in complex and necessary tasks for data intelligence and critical decision making. These tasks combine core data management techniques (including data integration, fusion, cleaning, and preparation) with statistical machine learning methods. The final goal is to let the users focus exclusively on the logic of their application, without being concerned by the underlying models or the execution details of data preprocessing, feature and ML model engineering. I design, code techniques and end-to-end analytical pipelines (in Python and R) on the following key aspects of Data Science and AI:


Partially on:   DBLP    ResearchGate    GoogleScholar   




ECO2ADAPT: Ecosystem-based Adaptation and Changemaking to Shape, Protect and Maintain the Resilience of Tomorrow’s Forests 31-partner project, PI: A. Stokes (INRAE, France) European Union   HORIZON-CL6-2021-CLIMATE-01-10, Sept. 2022 – Aug. 2027. Role: Task Leader
PARSEC: Building New Tools for Data Sharing and Re-Use through a Transnational Investigation of Socioeconomic Impacts of Protected Areas Participating countries: Brazil, France, Japan, United States, Australia, UK, PI: N. Mouquet (CESAB, Montpellier, France) Belmont Forum, Jan. 2019 – Jan. 2023. Role: Participant [info]  
MPA-POVERTY: Can marine protected areas alleviate poverty in the context of land desertification? 6-partner project, PI: Prof. D. Mouillot (MARBEC, Univ. Montpellier 2, France) ANR   French National Agency for Research, Jan. 2020 – Jan. 2024. Role: Work Package Leader [info]  
QUALIHEALTH: Enhancing the Quality of Health Data 7-partner project, PI: Prof. A. Bonifati (LIRIS, Univ. Lyon 1, France) ANR   French National Agency for Research, Feb. 2019 – Jan. 2023. Role: Work Package Leader [info]  
COCLICO: COllaboration, Classification, Incrémentalité et COnnaisssances 6-partner project, PI: Prof. P. Gançarski (ICUBE, Univ. Strasbourg, France) ANR   French National Agency for Research, Feb. 2019 – Jan. 2023. Role: Work Package Leader [info]  
FRESQUEAU: Data mining for assessing and monitoring the hydrobiologic quality of running waters 6-partner project, PI: F. Le Ber (Univ. Strasbourg, France) ANR   French National Agency for Research, Nov. 2011 – Aug. 2013. Role: Task Leader [info]  
EXQUALIBUR: Quality-introspective Data Management System European Marie Curie Outgoing International Fellowship (FP6-MOIF-CT-2006-041000) EU   European Commission, Sept. 2007 – Dec. 2010. Role: Project Leader  
ENTHRONE: End-to-End QoS through Integrated Management of Content, Networks and Terminals, Phase 1 32-partner project, PI: Thales Broadcast France EU   European Integrated Project (FP6-2002-IST-, Dec. 2003- Dec. 2005. Role: Project Leader [info]    
QUADRIS: Quality of Multi-source Data and Information Systems 6-partner project, PI: Thales Broadcast (Univ. Rennes 1, France) ANR   French National Agency for Research, Dec. 2003 – Dec. 2008. Role: Project Leader  





Biographical Sketch

Laure Berti-Équille is a Research Director at IRD, the French research institute for sustainable development. Before, she was a full professor in Computer Science at Aix-Marseille University in France, a senior scientist at Qatar Computing Research Institute, an associate professor at University of Rennes 1 in France, and a 2-years visiting researcher at AT&T Labs Research in New Jersey, as a recipient of the prestigious European Marie Curie Outgoing Fellowship. Her current research interests are on the inter-play of data management and machine learning with a focus on anomaly detection, data cleaning and preparation, and data fusion. She has more than 100 publications in major conferences or journals along with two books (edited by Morgan&Claypool in 2015 and Hermès-Lavoisier in 2012), and 10 co-edited proceedings. She has co-organized numerous workshops on information and data quality in conjunction with top conferences such as SIGMOD and VLDB. She has given several tutorials and keynote talks on data curation and data engineering for applied machine learning (KDD'21, ICDE'18, ICDE'16, CIKM'15, KDD'09, ICDM'09). She is an Associate Editor of the VLDB Journal, Frontiers in Big Data, and the ACM Information and Data Quality Journal and served in many program committees of international conferences. She has been leading projects with grants from 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.


IRD ESPACE-DEV Maison de la télédétection
500, rue Jean-François Breton
34093 MONTPELLIER cedex 05, France

laure DOT berti AT ird DOT fr