Bandeau image
Various board

Various board

Various board

The DATAIA Paris-Saclay Institute consults its various committees, drawn from member institutions of Paris-Saclay University and its partners, when making strategic decisions.
Nom de l'accordéon
The Executive Committee
Texte dans l'accordéon

The Executive Committee (or board) is responsible for overall project management, and for appraising scientific and strategic actions for submission to the strategic and program committees.

Frédéric Pascal, Director of the DATAIA Paris-Saclay Institute, L2S Laboratory, CentraleSupélec

Frédéric Pascal holds a PhD in Digital Signal Processing from the University of Paris X-Nanterre. From November 2006 to February 2008, he was a post-doctoral fellow in the Digital Signal and Information Processing team at the SATIE laboratory, CNRS, ENS Cachan, France. Between March 2008 and December 201, he was an assistant professor in the SONDRA laboratory at CentraleSupélec. In 2012, he obtained an Habilitation à Diriger la Recherche (HDR) in Signal Processing at Université Paris-Sud. Between August 2013 and August 2014, he was a visiting associate professor in the ECE department at the National University of Singapore. Since January 2014, Frédéric Pascal has been a full professor at CentraleSupélec's L2S laboratory. Since January 2017, he has been in charge of the "Signals and Statistics" group at L2S. He is also coordinator of data science activities at CentraleSupélec and holder of the Givaudan Chair in Data Science. Since September 2017, he has been a member of the DATAIA Institute Board as Program Coordinator. From 2015 to 2017, he was President of EURASIP SAT in Theoretical and Methodological Trends in Signal Processing (TMTSP) and is a member of the SAM Technical Committee of the IEEE Signal Processing Society. Frédéric Pascal is also associate editor for IEEE Transactions on Signal Processing, EURASIP Journal on Advances in Signal Processing and Elsevier Signal Processing. His research interests include estimation, detection and classification for statistical data in digital signal processing and applications in radar and imaging processing. He has authored and co-authored over a hundred publications in leading journals and participated in conferences on Signal, Image and Statistical Processing.

Frédéric Chazal, Deputy Research Director, Inria Saclay

Frédéric Chazal is Research Director at Inria Saclay - Ile-de-France and Director of the DATAIA Paris-Saclay Institute. After a doctorate in pure mathematics, he focused his research on computational geometry and topology. Today, he heads the DataShape team (Inria Saclay - Ile-de-France) working on topological data analysis (TDA), a recent and fast-growing field at the crossroads of mathematics, statistics, machine learning and computer science. Frédéric's contributions to this field range from fundamental mathematical aspects to algorithmic and applied problems. He has published over 80 papers for major computer science conferences and mathematics journals. He is co-author of 2 reference books and 3 patents. He is also associate editor of 4 international journals: Discrete and Computational Geometry (Springer), SIAM Journal on Imaging Science, Graphical Models (Elsevier), Journal of Applied and Computational Topology (Springer). In recent years, Frédéric has led several national and international research projects on geometric and topological methods in statistics and machine learning. He is also the scientific leader of joint industrial research projects between Inria and several companies such as Fujitsu (TDA, machine learning and explainable AI) and the French SME Sysnav.

Sarah Cohen-Boulakia, Deputy Director of Training, LISN Laboratory, Paris-Saclay University

Sarah Cohen-Boulakia is a university professor at LISN, the Laboratoire Interdisciplinaire des Sciences du Numérique at Université Paris-Saclay. She has been working for twenty years with multidisciplinary groups bringing together computer scientists and biologists from various fields. She is director of the CNRS GDR MaDICS on data science and interdisciplinarity. She is also heavily involved in teaching activities at the University (head of the Master Bio-Informatics, pedagogical coordinator of the SaclAI-School project). Sarah Cohen-Boulakia's research interests lie in data science, and include the provenance and design of scientific workflows, the reproducibility of scientific experiments, and the integration and interrogation of data from biological and biomedical databases.

Alexandra Bensamoun, Link with human and social sciences, law, Paris-Saclay University

Alexandra Bensamoun is Professor of Private Law and Criminal Sciences (Université Paris-Sud/Paris-Saclay - Centre d'études et de recherche en droit de l'immatériel CERDI), and a specialist in IP/IT. Appointed to the Conseil Supérieur de la Propriété Littéraire et Artistique (CSPLA), she has produced several reports for the French Ministry of Culture, for example on the status of Internet technical intermediaries and on the right of communication to the public. A member of the Board of the DATAIA Institute, she is deeply involved in reflection and scientific research on AI, and has written several contributions on its regulation, particularly in terms of responsibility and ethics. She also co-led the "Legal Issues" section of the #FranceIA report (at the request of the Prime Minister, 2017).

Sylvain Chevallier, Co-funding project management, LISN Laboratory, Paris-Saclay University

Sylvain Chevallier is a professor at the Université Paris-Saclay and works in the Laboratoire Interdisciplinaire des Sciences du Numériques (LISN) on geometric methods for multivariate time series analysis and prediction, as well as anomaly detection. He worked for 10 years at the Versailles Systems Engineering Laboratory on assisting people with disabilities, integrating brain interfaces into experimental and collaborative art-science applications. He is vice-president of the CORTICO learned society for the promotion of brain interfaces. He leads several open and citizen science projects to improve scientific reproducibility and facilitate the appropriation of brain-computer interfaces.

Emilie Chouzenoux, National and International Mobility Management, CentraleSupélec, Paris-Saclay University

Émilie Chouzenoux received her engineering degree from École centrale, Nantes, France, in 2007, and her PhD in signal processing from the Institut de recherche en communications et cybernétique (IRCCyN, UMR CNRS 6597), Nantes, in 2010. Between 2011 and 2019, she was a lecturer at Université Paris-Est Marne-la-Vallée, Champs-sur-Marne, France (LIGM, UMR CNRS 8049). Since September 2019, she has been a researcher at Inria Saclay, in the CVN laboratory at CentraleSupélec, Université Paris-Saclay. She is associate editor of the SIAM Journal on Mathematics of Data Science and the SIAM Journal on Imaging Science. Since January 2020, she has been the principal investigator of a Starting Grant from the European Research Council. Her research focuses on large-scale optimization algorithms for inverse problems and machine learning problems in image processing.

Antoine Cornuéjols, Link with the computational biology community, AgroParisTech

Antoine Cornuéjols is a professor at AgroParisTech, in charge of the EKINOCS (Learning and Integration of Knowledge) team within the UMR AgroParisTech/INRAE MIA-Paris. His research focuses on learning from data streams, transfer learning and supervised and unsupervised collaborative learning methods. He is co-author with Laurent Miclet and Vincent Barra of the book "Apprentissage Artificiel. Concepts and algorithms. From Bayes and Humes to deep learning" (4th edition in 2021). He is also co-director of the H@rvest partnership chair in digital agriculture.

Claire Nédellec, Link with the bioinformatics community, MaIAGE team, INRAE

Claire Nédellec is a research director in computer science, in charge of the Bibliome team (INRAE Jouy-en-Josas and Université Paris-Saclay). After 10 years spent at the LRI (Université Paris-Sud) as a PhD student under the supervision of Yves Kodratoff, then as a teacher-researcher, she joined the MaIAGE unit at INRAE, where she created the Bibliome team. Her research focuses on extracting information from texts in the life sciences and formalizing it using ontologies. She also contributes to the development of open text mining services for scientists, as part of international and national projects. She coordinated the drafting of the CoSO (Committee for Open Science) recommendations on automatic document analysis (2019).

David Rousseau, Link with CDS and the physics community, IJCLab-Orsay, CNRS

David Rousseau is a physicist and CNRS/IN2P3 Research Director in the IJCLab-Orsay Université Paris Saclay laboratory. He is a member of the ATLAS collaboration at CERN's Large Hadron Collider, mainly studying the physics of the Higgs boson. He has a particular interest in the use of Artificial Intelligence in physics and science more generally, in particular substitution models, dimensionality reduction and classification in the presence of uncertainties. To this end, he has organized two Kaggle challenges and is co-leader of the Interexperiment Machine Learning group at CERN, and co-leader of the Center for Data Science Paris Saclay.

Fatiha Saïs, Link with the Symbolic AI community, LISN Laboratory, Paris-Saclay University

Fatiha Saïs is a University Professor at Université Paris Saclay and a member of the Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), where she heads 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.

François Terrier, Industrial Relations, Trusted AI, CEA

Research Director at CEA, François Terrier is in charge of the Artificial Intelligence program at CEA. After a PhD in AI and 10 years of R&D in the field, he conducted research on software engineering and trusted systems. Author of more than 100 publications, he was CEA's representative in the network of excellence on real-time systems led by Joseph Sifakis, and a player in standardization on the subject with the OMG. Head of department from 2010 to 2020, he was in charge of developing activities in model-based engineering and formal methods, which led to the production of international open source platforms (Papyrus, Frama-C). As part of this mission, he supported the emergence of new activities in cyber-security and resilient distributed systems, including blockchain. With his dual background in AI and trust systems engineering, he has built up the CEA's artificial intelligence and trust axis, which he pilots and deploys in various projects such as and the European TAILOR network of excellence.

Nom de l'accordéon
The Strategic Committee
Texte dans l'accordéon

The Strategic Committee is the decision-making body of the DATAIA Paris-Saclay Institute, responsible for validating the scientific and strategic orientations proposed by the Executive Committee and the Program Committee. It is made up of six members, representing the University of Paris-Saclay and three national research organizations:

Jean-Yves Berthou, Director of the Inria Saclay center

Jean-Yves Berthou holds a doctorate in computer science and is an academic trained in research into simulation and high-performance scientific computing. He spent around ten years working for public research organizations and almost twenty years in industry, mainly in R&D at EDF. For the past four years, he has been responsible for setting up an innovation dynamic and approach at EDF's Transformation and Operational Efficiency Division, which has resulted in the industrialization of over 250 innovations and the contractualization of some sixty partnerships with startups. From 2011 to 2015, Jean-Yves Berthou was head of the Numerical and Mathematical Department (NuMa) at the French National Research Agency, responsible for organizing the selection, funding and monitoring of research projects, as well as setting up European and international collaborations. From 1997 to 2011, he held various positions at EDF's research division, EDF R&D. He was successively researcher, project leader, manager and then director of EDF R&D's Simulation and Information Technology programs. These various missions naturally led him to collaborate with Inria, notably when he sat on the institute's evaluation commission between 2008 and 2011. For the past fifteen years, Jean-Yves Berthou has been regularly called upon by the European Commission for expert missions, particularly in the fields of high-performance computing, open science and research and innovation strategies.

Olivier Cappé, Researcher, CNRS/LIMSI Laboratory (Orsay)

Olivier Cappé specializes in various aspects of machine learning, statistics and signal processing. In the distant past (1990s), he started out in the field of speech and sound processing. More recently (2000s), he has contributed to Bayesian methods, Markov chain Monte Carlo and some natural language processing applications. Most of his recent work (2010s) is linked to e-learning and multi-armed bandit models. Since September 2021, Olivier Cappé has been affiliated with the newly-created Centre Sciences des Données (CSD) at ENS. He is also Deputy Scientific Director of the Information Sciences and Technologies Division (INS2I) at CNRS, where he is in charge of actions in the field of information sciences in the broadest sense (on topics such as artificial intelligence, cybersecurity and quantum computing).

Paul-Henry Cournède, Director of Research at CentraleSupélec

Paul-Henry Cournède graduated from Centrale Paris (class of 97) and Cambridge University (Master of Advanced Study in Mathematics). He then completed a thesis in applied mathematics between CEA and Centrale Paris, a post-doctorate at INRIA Sophia-Antipolis, and became a teacher-researcher at the school in 2002. Today, he is a Professor in the Mathematics Department and, since 2016, head of the MICS laboratory. He leads the Biomathematics research team, which focuses on the analysis of biological systems and data, with strong applications in oncology as part of the partnership with Gustave Roussy. He is also a member of the Fédération de Mathématiques, the Conseil des Etudes de CentraleSupélec, the Conseil Scientifique de la Faculté de Médecine de l'Université Paris-Saclay, the Comité Scientifique et pédagogique de l'Ecole de l'Inserm Pfizer Innovation, and the Comité ANR Laboratoires Communs.

Michel Guidal, Deputy Vice-President Research Sciences and Engineering, Paris-Saclay University

In June 1992, Michel Guidal obtained his Master's degree in "Fields, Particles, Matter" from the Université Paris Sud in Orsay, France. In December of the following year, he pursued a Master of Science at the University of South Carolina at Columbia, USA, on the research topic "Simulation of the CLAS detector at CEBAF with GEANT". 3 years later, Michel Guidal prepared a thesis in physics at CEA Saclay (SPhN /DAPNIA/DSM), on the theme "Photoproduction of mesons on the nucleon at intermediate energies". In December 1996, he was a Post-Doc at NIKHEF, Amsterdam. The following year, Michel was appointed Chargé de Recherche at CNRS/IN2P3 at the Institut de Physique Nucléaire d'Orsay. 10 years later, Michel Guidal received his Habilitation à Direire des Recherches (HDR) at the Université Paris Sud in Orsay, on the topic of "Experimental and phenomenological study of Generalised Parton Distributions". In 2009, he became director of research (2nd class) at CNRS/IN2P3, Institut de Physique Nucléaire d'Orsay. In 2014, he was awarded the Joliot-Curie prize by the Société Française de Physique. In 2017, he became the Institute's Director of Research.

Jean-Noël Patillon, Director of CEA-List

Jean-Noël Patillon is a graduate of the Supélec engineering school and holds a PhD in solid state physics from the Solid State Physics Laboratory at the University of Paris XI. From 1984 to 1996, he joined LEP (Laboratoire d'Electronique Philips), becoming head of the Optoelectronics group. In 1996, he joined Motorola Labs Paris and headed the "Broadband System and Technology" and "Molecular Electronics Research" laboratories, addressing the fields of short-range systems (WLAN, WPAN) and heterogeneous networks, cognitive radio and SDR. He is involved in projects such as @HOM, Broadway, UCAN, WINNER, PULSERS, FIREWORKS, E2R/E2RII, E3. In January 2009, he joined the Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA) and became head of the "Communication Systems" laboratory at the CEA List institute, working on E2E and M2M communication systems and solutions. He helped set up the Nano-INNOV operation and the SystemX Technological Research Institute. He was appointed Scientific Director of CEA List and Deputy Director of the CEA List Carnot Institute in 2013. He has been acting director of the CEA List institute since September 2018.

Nicolas Vayatis, Lecturer at ENS Paris-Saclay

A specialist in data science and machine learning, Nicolas Vayatis leads a research group developing work in predictive modeling and algorithms, network science and signal processing, constantly interfacing with industry and the biomedical field.

Nom de l'accordéon
The Program Committee
Texte dans l'accordéon

The Program Committee is responsible for proposing scientific initiatives to the Strategic Committee. It selects the projects and activities to be supported. It is made up of representatives from eight graduate schools (known as "GS") of Paris-Saclay University, five national research organizations, one representative from Institut Minès-Télécom Business School, two representatives from Institut Polytechnique de Paris and HEC.

Alexandra Bensamoun, GS Droit, Paris-Saclay University

Alexandra Bensamoun is Professor of Private Law and Criminal Sciences (Université Paris-Sud/Paris-Saclay - Centre d'études et de recherche en droit de l'immatériel CERDI), and a specialist in IP/IT. Appointed to the Conseil Supérieur de la Propriété Littéraire et Artistique (CSPLA), she has produced several reports for the French Ministry of Culture, for example on the status of Internet technical intermediaries and on the right of communication to the public. A member of the Board of the DATAIA Institute, she is deeply involved in reflection and scientific research on AI, and has written several contributions on its regulation, particularly in terms of responsibility and ethics. She also co-led the "Legal Issues" section of the #FranceIA report (at the request of the Prime Minister, 2017).

Thibault Faney, IFP Energies Nouvelles, Project Leader

David Filliat, ENSTA / IP Paris, Lecturer / Scientific Director CIEDS IP Paris

David Filliat is a professor in the Computer Science and Systems Engineering Unit (U2IS) at ENSTA Paris and a member of the INRIA/ENSTA Paris FLOWERS team working on developmental robotics. He is also Scientific Director of the Centre Interdisciplinaire d'Etudes pour la Défense et la Sécurité (CIEDS) at IP Paris. His research focuses on robotics, with a particular emphasis on perception and learning. His aim is to develop methods for simplifying the use of robots, making them more robust and increasing their autonomy. He is particularly interested in navigation, mapping, planning, learning applied to multi-modal perception and reinforcement learning, and applications to mobile robots, drones and autonomous vehicles.

Cyril Furtlehner, Inria, Research Manager

Cyril Furtlehner is an Inria Research Associate with a PhD in theoretical physics and an Hdr. After completing his thesis at the IPN Orsay, followed by successive post-docs at the Max Planck Institute Heidelberg and the University of Oslo, he first joined the PREVAL team at Inria-Rocquencourt, then the TAU team at Inria Saclay, to work on theoretical and applied topics related to stochastic processes and probabilistic inference. Since then, his research has focused on interdisciplinary topics, mainly statistical physics problems related to optimization and machine learning.

Fabrice Le Guel, GS Économie & Management, Paris-Saclay University

Fabrice Le Guel is an economist, Maître de Conférences HDR at Université Paris Saclay, and a member of the board of directors of the Master 2 IREN (Industries de Réseau et Économie Numérique). His research interests include digital economics, innovation economics, network economics and privacy economics. He co-directs the 'HUMAAINE' Chair in Artificial Intelligence (HUman-MAchine Affective INteraction & Ethics) with Laurence Devillers, and is a member of the program committee of the DATAIA Paris-Saclay Institute.

Olivier Lespinet, GS Life Science & Health, Paris-Saclay University

His research focuses on the evolutionary analysis of genomes and biological networks. In this context, Olivier Lespinet is involved in the development of several projects, the most significant of which are the evolution of synteny in prokaryotes, the discovery and identification of orphan enzyme activities, and the annotation and analysis of the genome of the filamentous fungus Podospora anserina, the study of the diversity, dynamics and evolution of biological networks and the study of biological networks (genetic regulation networks, protein interaction networks, metabolic networks) is a good way of understanding how living organisms evolve and function. In addition to purely experimental approaches aimed, for example, at listing the proteins interacting with each other in a given physiological condition for a particular organism, in silico approaches based on these experimental data coupled with comparative genomics approaches are now also making it possible to study biological networks.

Cécile Mallet, GS Geosciences & Climate, Versailles-Saint-Quentin-en-Yvelines University

Cécile Mallet is head of the TRIED (Information Processing and Data Exploitation) Master's program at the University of Versailles-Saint-Quentin-en-Yvelines (UVSQ). Teaching: Numerical methods - Data analysis - Statistical modeling - Neural networks - Statistical learning. Research: statistics applied to the environment - observation and modeling of atmospheric precipitation (extreme events) - spatial remote sensing. Specializations: Research in statistics applied to the natural environment, Teaching, Research contracts, Journal reporter, Habilitation to direct research. Head of the SPACE (Statistique Processus Atmosphère Cycle de l'Eau) team at LATMOS.

Mathilde Mougeot, GS Mathematics, ENS Paris-Saclay

Mathilde Mougeot is a researcher and professor in data science at the École nationale supérieure d'informatique pour l'industrie et l'entreprise (ENSIIE), and holds the Industrial data analytics and machine learning chair at the Centre Borelli. Her atypical career path, in industry and academia, gives her a dual skill set that she puts to good use in data science research and teaching.

Julien Peloton, Laboratoire de Physique Irène Joliot-Curie (IJCLab), Research Engineer

Julien Peloton holds a PhD in Physics of the Universe, and is a research engineer at the Irène Joliot-Curie Laboratory of 2 Infinite Physics (IJCLab). His work focuses on the real-time processing of large masses of data on distributed computing infrastructures, such as the cloud. He is a project leader in astronomy, and is actively involved in teaching computer science in physics courses at the Université Paris-Saclay.

Gaël Richard, Institut Polytechnique de Paris / HEC, Hi! Paris Executive Director

Gaël Richard is Executive Director of Hi!Paris and Professor at Télécom Paris, Institut Polytechnique de Paris. His research work lies at the heart of digitization and is dedicated to the analysis, transformation, understanding and automatic indexing of acoustic signals (including speech, music and environmental sounds) and, to a lesser extent, heterogeneous and multimodal signals. In particular, he has developed several source separation methods for audio and music signals based on machine learning approaches.

Sophie Schbath, INRAE, Research Director

Sophie Schbath obtained her PhD in Statistics from the University of Paris V in October 1995. She did her thesis at the Biometrics Laboratory of INRA (Institut National de la Recherche Agronomique) in Jouy-en-Josas, where she obtained a permanent research position in August 1996. In 1996, she spent a year as a post-doctoral fellow in Los Angeles, working with Simon Tavaré and Michael Waterman. In 2000, she joined the new multidisciplinary MIG (Mathematics, Informatics & Genome) laboratory at INRA-Jouy, and received her habilitation on September 22, 2003. Sophie Schbath was president of the Société Française de BioInformatique (300 members) from 2010 to 2016, and co-directed the Groupement de Recherche Français "BioInformatique Moléculaire" (1000 members) from 2006 to 2014. She is now a research director at INRAE. Since 2015, she has been head of the MaIAGE laboratory. She is also the scientific leader of the Migale bioinformatics facility. Her main interest is developing statistical methods for genome and metagenome analysis. Her favorite objects are DNA motifs in all their forms: words, kmers, degenerate words, structured motifs, position weight matrices, exact maximum matches, etc. She studies their frequency, but also their structure. She mainly studies their frequency, but also their localization along genomes, looking in particular for co-localized motifs. She initiated and participated in the development of the R'MES software, which evaluates the statistical significance of the number of motifs in DNA sequences. In recent years, she has taken a particular interest in the study of microbial ecosystems in her laboratory.

Nicolas Soulié, Institut Mines-Télécom Business School, Researcher

Nicolas Soulié is a lecturer in digital economics at Institut Mines-Télécom Business School. He holds a PhD in economics from the Université Toulouse 1 - Capitole. His work focuses on personal data and online privacy issues on social networks (discrimination, targeting, etc.), and on the impact of information technologies (smartphones, applications, etc.) on individual mobility (decisions, well-being, etc.).

François Terrier, CEA, Industrial Relations, Trusted AI

Research Director at CEA, François Terrier is in charge of the Artificial Intelligence program at CEA. After a PhD in AI and 10 years of R&D in the field, he conducted research on software engineering and trust systems. Author of more than 100 publications, he was CEA's representative in the network of excellence on real-time systems led by Joseph Sifakis, and a player in standardization on the subject with the OMG. Head of department from 2010 to 2020, he was in charge of developing activities in model-based engineering and formal methods, which led to the production of international open source platforms (Papyrus, Frama-C). As part of this mission, he supported the emergence of new activities in cyber-security and resilient distributed systems, including blockchain. With his dual background in AI and trust systems engineering, he has built up the CEA's artificial intelligence and trust axis, which he pilots and deploys in various projects such as and the European TAILOR network of excellence.

Emmanuel Vazquez, GS Engineering, CentraleSupélec

Emmanuel Vazquez is a researcher in the field of Bayesian design and analysis of computer experiments (Bayesian DACE). He teaches Bayesian statistics at CentraleSupélec. He is also the coordinator of data science projects. In the past, he has also taught functional analysis and probability theory. The design and analysis of computer experiments involves using statistical approaches to solve problems such as approximation, uncertainty quantification, optimization, etc., involving computer programs (or simulators) that emulate physical systems (see, for example, Santner 2003). His work is based on Bayesian sequential decision theory. In the field of computer experiments, the Bayesian approach starts with a prior distribution that represents our prior belief about the structure of the computer model. The use of this approach for computer experiments emerged in the 1980s.

Lina Ye, GS Computer Science, CentraleSupélec - Associate Professor in Computer Science

Lina Ye studied computer science and information systems at the University of Surrey, England, and at the Université de Paris-Sud 11. She then obtained her PhD in Computer Science from the Université de Paris-Sud 11, France, in 2011. She held a post-doctoral position in the CONVECS research team at Inria Rhône-Alpes in 2012-2014. She is currently Associate Professor in Computer Science at CentraleSupélec, Université Paris Saclay. Her research work was carried out at the LRI laboratory (Laboratoire de Recherche en Informatique) until the end of 2020 and now at the LMF laboratory (Laboratoire Méthodes Formelles), at Paris Saclay University.

Pierre Zweigenbaum, CNRS, Researcher

Pierre Zweigenbaum, PhD, FACMI, FIAHSI, is a Senior Researcher at the Laboratoire Interdisciplinaire des Sciences du Numérique (LISN, Orsay, France), a laboratory of the Centre National de la Recherche Scientifique (CNRS) and the Université Paris-Saclay, where he led LISN's natural language processing group for seven years. Prior to the CNRS, he was a researcher at the Paris Public Hospitals in an Inserm team for twenty years. He was also a part-time professor at the Institut national des langues et civilisations orientales for ten years. His research focuses on natural language processing, with medicine as his main field of application. He is interested in information extraction in multilingual contexts, and has authored or co-authored methods and tools for detecting various types of medical entities, extending abbreviations, resolving coreferences and detecting relations. He has also designed methods for the automatic acquisition of linguistic knowledge from corpora and thesauri, to help extend monolingual and bilingual lexicons and terminologies, using parallel and comparable corpora. He is a graduate of École Polytechnique (1980) and Télécom Paris (1982), and holds a doctorate from Télécom Paris (1985). A former vice-president of the French Association for Natural Language Processing (ATALA) and the French Association for Artificial Intelligence (AFIA), founder and president of the French-speaking SIG of the International Medical Informatics Association, he was elected a fellow of the American College of Medical Informatics in 2014 and a fellow of the International Academy of Health Sciences Informatics in 2019.

Nom de l'accordéon
The Scientific Advisory Board
Texte dans l'accordéon

The Scientific Advisory Board is made up of high-level, internationally renowned scientists who are not affiliated with any of the Institute's partners. It gives its opinion on the major orientations of the Institute's scientific policy, and ensures consistency between the development of its activities and its scientific programs.

Masaru Kitsuregawa, University of Tokyo (Japan), Director of the National Institute of Informatics / Professor at the Institute of Industrial Sciences

Masaru Kitsuregawa is Director of the National Institute of Informatics and Professor at the Institute of Industrial Sciences, University of Tokyo. D. from the University of Tokyo in 1983. He has held various positions, including President of the Information Processing Society of Japan (2013-2015) and Chairman of the Committee for Informatics of the Science Council of Japan (2014-2016). He has many research interests, particularly in the field of database engineering. He has received numerous awards, including the ACM SIGMOD E. F. Codd Innovation Award, the IEICE Contribution Award, the IPSJ Contribution Award, the 21st Century Invention Award, the National Commendation for Invention, the Japan Award and the C&C Award. In 2013, he was awarded the medal with the purple ribbon, and in 2016, the title of Chevalier de la Légion d'Honneur. He is a member of the ACM, IEEE, IEICE and IPSJ. 

Laure Lucchesi, Etalab, Director

Laure Lucchesi is the Director of Etalab, the mission responsible for piloting the opening up and sharing of public data (Open Data). This organization, which reports to the Prime Minister, is responsible for promoting the opening up and sharing of public data. Etalab administers the portal, designed to bring together and make freely available all public information held by the State, its public establishments and, if they so wish, local authorities and public or private-sector entities entrusted with a public service mission.

Verena Rieser, Heriot-Watt University (Edinburgh, UK), Professor of Artificial Intelligence

Verena Rieser is Professor of Artificial Intelligence at Heriot-Watt University in Edinburgh, where she is affiliated with the Interaction Lab and the Edinburgh Centre for Robotics. Verena holds a PhD from Saarland University (2008) and worked as a postdoctoral researcher at the University of Edinburgh (2008-11). Her research focuses on statistical learning techniques for conversational AI, i.e. spoken dialogue systems and language generation. She is the author of over 100 peer-reviewed papers and has received several awards for her research. She has served the research community in a number of leadership roles, as well as scientific advisor to government and public agencies. For the past two years, Verena and her group have been the only UK team to reach the final of the Amazon Alexa Prize.

John Shawe Taylor, University College London (UK), Professor of Computer Science

John Shawe-Taylor is Professor of Computer Science at University College London. He has contributed to a fundamental renaissance in statistical learning, with applications in new fields such as computer vision, document classification, and applications in biology and medicine focusing on brain scanning, immunity and proteome analysis. He has published over 250 articles and two books, which have been cited over 66,000 times. He has also helped to set up a series of influential European networks of excellence. The scientific coordination of these projects has influenced a whole generation of researchers, and fostered the widespread adoption of machine learning in both science and industry that we are now witnessing. He was appointed UNESCO Chair in Artificial Intelligence in November 2018 and is the lead trustee of the UK charity, Knowledge 4 All Foundation, which promotes open education and helps establish a network of artificial intelligence researchers and practitioners in sub-Saharan Africa.

Henri Verdier, Ambassador for the Digital Age (France)

A former student at the École normale supérieure, Henri Verdier was founder and CEO of Odile Jacob Multimédia. With Jean-Michel Lasry, Pierre-Louis Lions and Olivier Guéant, he co-founded MFG-Labs, which he left in 2012 and which was acquired by Havas Media in May 2013. A founding member of the Cap Digital competitiveness cluster, he served as Vice-Chairman from 2006 to 2008, before becoming Chairman of the Board from 2008 to January 2013. In January 2013, he was appointed head of Etalab, the mission responsible for opening up public data under the authority of the Prime Minister. Under his direction, Etalab is developing a new version, inaugurated on December 18, 2013, of the French open data portal "", which hosts a wealth of public data and is the first open data portal in the world to welcome citizen data and reuse. Henri Verdier is also a member of the scientific council of the Institut Mines-Télécom, as well as the ARCEP foresight committee and the CNIL foresight committee. On September 19, 2014, he was appointed General Data Administrator by the French government. A year later, on September 23, 2015, Henri Verdier was appointed, by the Council of Ministers, interministerial director of digital and state information and communication systems (DINSIC).

Stefan Wrobel, University of Bonn (Germany), Professor of Computer Science / Director of the Fraunhofer Institute

Stefan Wrobel is Professor of Computer Science at the University of Bonn and Director of the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS. He studied computer science and artificial intelligence in Bonn and Atlanta, Georgia/USA (M.S.,Georgia Institute of Technology) and obtained his doctorate at the University of Dortmund. After several years of study at the University of Dortmund, he obtained his Ph. After several years of research and as co-founder of a start-up, he was appointed Professor at the University of Magdeburg, before taking up his current position. He is also one of the directors of the Bonn-Aachen International Center for Information Technology (b-it). Professor Wrobel's work focuses on intelligent systems and their productive use in enterprise applications, with particular emphasis on innovations in statistical learning, artificial intelligence and the foundations of big data, data ecosystems and enterprise structures. He is the author of a large number of publications on data mining and statistical learning, and is on the editorial board of several academic journals in his field. He is co-chairman of ML2R, one of Germany's journals of excellence in statistical learning, and a Fraunhofer Alliance lecturer on statistical learning and AI.