Laure Berti-Équille


  Main Topics


  Research Focus

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 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, feature, and ML model engineering. Ultimately, I design and code techniques and end-to-end analytical pipelines in Python and R on the following key aspects of Data Science and AI:


  • Jan. 2011 – Present:                Research Director (DR2), Institut de Recherche pour le Développement (IRD, U228), France
  • Sept. 2017 – Aug. 2018:          Full Professor, Aix-Marseille University, Polytech'Marseille, LIS (UMR CNRS 7020), France
  • March 2014 – June 2017:       Senior Research Scientist, Qatar Computing Research Institute (QCRI), Qatar
  • Jan. 2010 – Dec. 2010:           Researcher (Marie Curie Fellowship), University of Rennes 1, France
  • Sept. 2007 – Dec. 2009:          Visiting Researcher (Marie Curie Fellowship), AT&T Labs–Research, NJ, USA
  • Sept. 2004 – Aug. 2006:          Researcher, CNRS (UMR 6074), IRISA Rennes, France
  • Sept. 2000 – Aug. 2010:          Associate Professor with tenure, University of Rennes 1, France
  • July 1999 – Sept. 2000:          Post-doc (A.T.E.R.), University of Avignon, France
  • March 1996 – July 1999:        Ph.D. candidate and teaching assistant, University of Toulon, France
  • Oct. 1995 – March 1996:        Part-time Software Engineer, AERO-SEMA Group, France
  • March 1995 – Sept. 1995:      Analyst (Internship), French Navy, DGA/ECN/CTSN, France


Partial lists can be found in:   [DBLP][ResearchGate][GoogleScholar][LinkedIn]



Edition of Proceedings and Editorial Papers

Journal Publications

Conference and Workshop Publications

≤ 2000

Demos and Posters

Grants Patents Awards

Grants and Responsabilities

  • Jan. 2020 – Jan. 2024: French Research Grant funded by ANR (French National Agency for Research) for the project “MPA-POVERTY: Can marine protected areas alleviate poverty in the context of land desertification? (2020-2024), 6-partner project, PI: Prof. D. Mouillot (MARBEC, Univ. Montpellier 2, France). Role: Work Package Leader
  • Feb. 2019 – Jan. 2023: French Research Grant funded by ANR (French National Agency for Research) for the project “QualiHealth: Enhancing the Quality of Health Data” (PI: LIRIS Lab, 7 partners), Funding received by AMU: 175 435 €. Role: Work Package Leader
  • Oct. 2012 – Aug. 2016: French Research Grant funded by ANR (French National Agency for Research) Numerical Modeling Call 2012 for the project “COCLICO: COllaboration, Classification, Incrémentalité et COnnaisssances” (PI: ICUBE Lab, 6 partners), Funding received by ESPACE DEV: 250 432 €.
  • June. 2012 – Dec. 2012: French Research Grant funded by CNRS, MASTODONS 2012 Call for the project “AMADEUS: Analysis of MAssive Data in Earth and Universe Sciences” (PI: LABRI Lab, 5 partners), My role: Task Leader, Global project funding received by LABRI: 70 000 €.
  • Nov. 2011 – Aug. 2013: French Research Grant funded by ANR (French National Agency for research) Numerical Modeling 2012 Call, “FRESQUEAU: Data mining for assessing and monitoring the hydrobiologic quality of running waters” (PI: ENGEES Lab, 5 partners), My role: Task Leader, Global project funding: 183 550 €.
  • Sept. 2007 – Dec. 2010: European Marie Curie Outgoing International Fellowship (FP6-MOIF-CT-2006-041000), “Quality-introspective Data Management System”, 24+12 months (+ 4 months maternity leave), My role: PI, Funding received by my lab IRISA-Univ. Rennes 1: 201 583 €.
  • Dec. 2003- Dec. 2005: European Integrated Project ENTHRONE (FP6-2002-IST- “End-to-End QoS through Integrated Management of Content, Networks and Terminals”, Phase 1, (PI: Thales Broadcast & Multimedia, 32 partners), My role: Task Leader, Funding received by IRISA-INRIA: 145 605 €.
  • Jan. 2002 – Aug. 2007: French Collaborative Research Grant with the Military Schools of Coëtquidan, France, “Intelligent Parsing, Indexing and Querying Deductive XML for Pedagogical Materials of the French Military Staff Training”, My role: PI and PhD Advisor, Funding received by IRISA-Univ. Rennes 1: 35 300 €
  • Dec. 2003 – Dec. 2008: French Research Grant funded by ANR (French Agency of Research), “QUADRIS: Quality of Multi-source Data and Information Systems” (PI: INRIA, 5 partners), My role: PI, Funding received by IRISA: 110 000 €.


  • Detecting dependence between sources, United States Patent 8190546, issued 5/29/2012 and co-invented with X. L. Dong and D. Srivastava
  • Scalable Automatic Repair for minimal change and maximal likelihood, European Patent 12724324.4 issued on May 25, 2012 co-invented with Mohamed Yakout and Ahmed K. Elmagarmid.
  • Scalable Automatic Repair for minimal change and maximal likelihood, United States Patent: 9619494 - 13/115.253 issued on April 11, 2017, co-invented with Mohamed Yakout and Ahmed K. Elmagarmid.


  • Promoted to IEEE Senior Member Grade, Dec. 2018
  • Recipient of Prime d’Encadrement Doctoral et de Recherche, 2018-2021
  • Recipient of William Mong Visiting Research Fellowship, Hong-Kong University, Dec. 2018
  • Recipient of Prix de la Ville de Marseille, Accueil de chercheur, 2018
  • Recipient of ICIQ 2011 Best Paper Award for the paper entitled “DAQ_UWE: A Framework doe Designing Data Quality Aware Web Applications” with C. Guerra-García, I. Caballero, Laure Berti-Équille, M. Piattini. In Proceedings of the 16th International Conference on Information Quality (ICIQ 2011), Adelaide, Australia, November 2011.
  • Recipient of Marie Curie Outgoing International Fellowship 2006 (FP6-MOIF-CT-2006-041000), 3 years funding (2007-2010) from the European Commission (selection rate: 18.8% of 445 submissions).
  • Best Junior Researcher paper INFORSID (French Conference on Information Systems) for the paper entitled “Qualité de données multi-sources et recommandation multi-critère”, INFORSID, 1999.


Tutorials and Invited Lectures


Associate and Guest Editor

  • Associate Editor of the VLDB Journal (from Jan. 2020)
  • Associate Editor of the ACM Journal on Data and Information Quality, PVLDB 2022 (vol. 15), and Data Science in Frontiers in Big Data
  • Editor of 7 proceedings of national and international workshops and conferences (ICIQ 2012, QDB 2009 in conjunction with VLDB 2009, IQIS 2005 in conjunction with ACM SIGMOD 2005, QDC 2005, 2006, 2010, and 2011 in conjunction with the French conference EGC)

Program and Organization Committees

  • Co-chair of ICIQ 2016, the 21st International Conference on Information Quality, Ciudad Real, Spain
  • Co-organizer of the International Quality in Databases workshop (QDB 2016) selected in conjunction with VLDB 2016, Delhi, India, September 2016
  • PC chair of ICIQ 2012, the 17th International Conference on Information Quality, Paris, France.
  • Co-organizer and PC-co-chair of two international workshops Information Quality in Information Systems (IQIS 2005) and Quality in Databases (QDB 2009) in conjunction ACM SIGMOD 2005 and VLDB 2009 respectively
  • Co-organizer and PC chair of four workshop editions on Data and Knowledge Quality (QDC 2005, 2006, 2010, and 2011) in conjunction with the French conference on Data mining
  • Co-founder of EXQI, the first non-profit organization dedicated to data quality and data governance networking for French companies
  • PC member of more than 60 international and national conferences and workshops since 2000 including recently EDBT 2020, ICDE 2020, SIGSPATIAL 2019, INSCI 2019, CIKM 2018, ICDE 2018, MIT-ICIQ 2017, BDA 2017, TKDE, KAIS.


  • PhD Jury Committee Member and external reviewer of 20+ PhD candidates
  • Supervision of 40+ young researcher internships and co-supervision of 7 PhD students


As an Associate Professor (with tenure) from 2000 to 2010 and a Full Professor from 2017 to 2018, I taught (lessons and practical work) from 192 to 300 hours per year at the Computer Science departments of several universities and engineering schools: Aix-Marseille University (PolyTech'Marseille), University of Montpellier 2, University of Toulon, University of Avignon, and University of Rennes 1, INSA Rennes, ENST Brest in France as well as at University of Cape Coast in Ghana and University of Yaoundé in Cameroon, Africa in the volunteering initiative of AHED (Academics for Higher Education & Development)). I’ve developed numerous lecture notes, slides, and other pedagogical materials for undergraduate and graduate students on various topics of Data Science:

  • Data management, advanced database administration, and DB tuning
  • Machine Learning
  • Semantic Web Technologies
  • Operating Systems
  • Software Engineering Project Management.


@ESPACE DEV, Montpellier

  • Robin Jarry (Oct. 2020 – present, Ph.D. thesis of Montpellier Univ.) co-supervised with M. Chaumont, Univ. Nîmes, LIRMM, Montpellier, France and G. Subsol CNRS, LIRMM, Montpellier, France: Assessment of CNN-based Methods for Poverty Estimation from Satellite Images
  • Abdelouahab Chibah (Oct. 2020 – present, Ph.D. thesis of Grenoble Univ.) co-supervised with S. Amer-Yahia, CNRS, IMAG, Grenoble, France: Mining and querying the evolution of behaviors over time
  • Ali Ben Abbes (Oct. 2020 – present) Postdoc, PARSEC project (2019-2022) on “Deep learning for poverty prediction from satellite images”
  • Hussein Khansa (Oct. 2019 – present, Ph.D. thesis of Montpellier Univ.) co-supervised with C. Gervet, Univ. Montpellier, France: Learning robust constrained model ensembles from large uncertain spatio-temporal data scenarios: the case of the climate impact study on agricultural planning

@Aix-Marseille University

  • Marouane Azibou (Dec. 2020 – present, Ph.D. thesis of Montpellier Univ.) co-supervised with S. Sellami, Univ. Aix-Marseille, France: Automatiser la gestion de la qualité des flux de données inter-applications par apprentissage semi-supervisé with INSEPTI company
  • Ugo Comignani (Oct. 2019 – present) Postdoc, ANR QualiHealth project
  • Guillaume Chambaret (Mars 2019 – present, Ph.D. thesis) co-supervised with F. Bouchara, Univ. Toulon, France: Analyse et prédiction à partir de séries temporelles et recommandation sous contraintes pour la maintenance prédictive.
  • Victor Polizzi (Feb 2019 – July 2019) M.Sc. Intern Univ. Toulon, France, Projet SEAMED - Analyse d’éléments de bioacoustique terrestre diurne et nocturne des stations d’enregistrement du Domaine du Rayol (in French).
  • Liliane Kong Win Chang (Mars 2019 – July 2019) M.Sc. Intern Univ. Lyon, France, Robustness to noise of ML model-agnostic explanation: an empirical study.

@Qatar Computing Research Institute, Qatar

  • Kushal Sha (October 2015 – July 2016) M.Sc. Intern, Urban computing: traffic density near-future forecasting.
  • Mouhamadou Lamine Ba (October 2015 – April 2016), Research Associate (Postdoc), Truth discovery for Web data and spatio-temporal events.
  • Aisha El-Allam (May 2015 – July 2015) M.Sc. Summer Intern, Qatar-CMU, Traffic Density Prediction based on Bluetooth sensored data.
  • Posha Dave (May 2015-July 2015) M.Sc. Summer Intern, Qatar-CMU, Information Extraction for Truth Discovery.
  • Naman Goel (October 2014 – February 2015, Internship) B.Tech, M.Tech in Computer Science & Engineering from Indian Institute of Technology, BHU: Meta-classifier for truth discovery, explanation and allegation.
  • Dalia Attia Waguih (November 2013 – August 2014, Internship), M.Sc. in Computer Science from Alexandria University, Egypt: Truth discovery algorithms implementation and experimental study.
  • Mahmood Neshati, Ph.D. in information retrieval from Sharif University of Technology, Tehran, Iran (May 2014 – August 2014, Internship): Combining constraint-based approaches with data mining-based approaches for detecting and repairing anomalies.

@Institut de Recherche pour le Développement, France

  • Andres Troya (October 2013 – October 2016, Ph.D. thesis) co-supervised with Prof. Gançarski, Strasbourg University, France: Collaborative Approach and Data and Knowledge Quality in Multi-Paradigm Remote Sensing Image Analysis.
  • Hatim Chahdi (October 2013 – July 2017, Ph.D. thesis) co-supervised with Dr Isabelle Mougenot, Montpellier University 2: Ontology-enhanced data classification.
  • Eva Serrano (October 2013 – January 2017, Ph.D. thesis) co-supervised with Prof. Armienta, UNAM, Mexico: Impact of data quality on the interpretations of statistical analysis results of Environmental Studies: Application to the Evaluation of the impact of emerging pollutants on the quality of the water of the rivers Tula, Taxco, Culiacan and Humaya in Mexico.
  • Cesar Guerra, Ph.D., (May 2011 – July 2011, Ph.D. Internship) co-supervised with Dr Ismael Caballero, Univ. Castilla-La Mancha: A Framework for Designing Data Quality Aware Web Applications.

@University of Rennes 1, France

  • Anicet KOUOMOU-CHOUPO, University of Rennes 1 (December 2002 – February 2006, Ph.D. thesis): Improving Similarity Search in Very Large Image Databases with Multimedia Mining Techniques.
  • Jean-André BENVENUTI, University of Rennes 1 (December 2002 – December 2008, Ph.D. thesis): Intelligent Parsing of XML Pedagogical Materials for Military Staff Training.
  • Ravi JAIN, University of South Australia (February 2007 – September 2007, Post-Doc): Quality-Awareness for Data Clustering.
  • Yongluan ZHOU, National University of Singapore (October 2005 – March 2006, Ph.D. Internship): Quality-Driven Distributed Query Planning and Optimization Based on Data Quality Negotiation.
  • Manuel BES (September 2001 – June 2002, M.Sc. Internship): Comparative Study of Association Rule Discovery Algorithms for Genomic Data Mining.
  • Anne CHARLERY (September 2002 – June 2003, M.Sc. Internship): Indexing Techniques for Genomic Data.
  • Mehrez CHAIKHA-DOUAIHY (February 2005 – June 2005, M.Sc. Internship): Optimizing Content-Based Image Retrieval.
  • Wilfried JOUVE (February 2005 – August 2005, M.Sc. Internship): Enriching Multimedia Content Description for Broadcast Environments.

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 work is at the intersection of data management and machine learning with a focus on data cleaning and data preparation. She has more than 100 publications in major conferences and journals and three monographs. She co-organized the first workshops on information and data quality in information systems (IQIS’05) and quality in databases (QDB’09,’16) in conjunction with SIGMOD and VLDB respectively. She has also given several tutorials and keynote talks on data curation for machine learning (ICDE 2018, The WebConf/MePDAW 2019), truth discovery (CIKM 2015, ICDE2016), and data quality-aware analytics (KDD'09, ICDM'09). She is on the editorial boards of the VLDB Journal and the ACM Information and Data Quality Journal. She has received various grants from the French National Agency of Research (ANR), the French National Research Council (CNRS), and the European Union and she is a IEEE senior member.


Laboratoire d'Informatique et Systèmes (LIS)

Domaine Universitaire de Saint-Jérôme

Avenue Escadrille Normandie-Niemen

13397 Marseille Cedex 20, France


Laure Berti-Équille

laure DOT berti AT ird DOT fr

Along the way

Here are some quotes, pieces of advice, and thoughts I have been collecting through the years in the academia (anonymity preserved):

  • “Mediocrity is what you get when you unlock few men’s potential. What strikes me the most is when some men are given some responsibilities they don’t deserve: their ego inflates so much that they are no longer able to realize when their decisions are wrong, and when they should step back instead for pushing forward people around them using pressure and intimidation.”
  • “What to do with nepotism? Be obedient and kowtow to the supreme leadership. If this is impossible for you, be prepared to fight and loose with panache and timely back-up plans.”
  • Managers rise to the level of their incompetence and employees only stop being promoted once they can no longer perform effectively. Peter Principle, Laurence J. Peter, 1969.
  • Real-world example of leadership in a group meeting: “You should send fewer emails and work more instead of questioning the fairness of my decisions.”
  • Another example of leadership: “Ask a goat keeper to lead a research group in Rocket science. No doubt, he will achieve excellence in shepherding a flock of researchers as long as they conform as goats in the middle of the desert.”
  • “Don't forget that some of your colleagues suffer from the bucket-of-Indian-rats syndrome.” The metaphor (also known as the Crab mentality) refers to a bucket of rats. Individually, the rats could escape from the bucket, but instead they grabb at each other to prevent any from escaping.
  • “You are complaining about our near zero-woman workplace?!? What are you doing here in the first place? Stop being an agressive and hysteric female and be grateful to be sourrounded by brillant male colleagues capable of educating you.”
  • “Should you talk about your children at work? If you don't mention them, you will get a penalty for being a careless mother but if you do talk about them, you will get a penalty for being less committed to your job. What do you prefer?"