Télécom Paris

All academic researchers implied in LIMPID come from Télécom Paris’ research teams, affiliated either to LTCI or I3.
LTCI (Laboratoire Traitement et Communication de l’Information) is the main research lab at Télécom Paris.
I3 (Interdisciplinary Institute on Innovation) is a joint research CNRS unit (UMR9217) with teams from Mines
ParisTech, Télécom Paris and École Polytechnique.

Florence d’Alché-Buc

Florence d’Alché-Buc

Full professor - holder of the Data Science & Artificial Intelligence
for Digitalized Industry & Services Chair
Her research spans a large spectrum of topics in Machine Learning, including structured prediction, representation learning, links between kernel and deep neural machines, robust and explainable learning.
Within LIMPID, she coordinates the scientific contributions of LTCI scientifics and conduct researches devoted to model’s prediction reliability and explainability by design with Pavlo Mozharovskyi.
She led LabEx DigiCosme until the end of 2019 and was program co-chair of NeurIPS 2019, and senior area chair for ICML 2021 and Neurips 2021. She currently holds the Research and Teaching Chair on Data Science and Artificial Intelligence for digitalized industry and services. She has about 100 publications, in international journals, conferences or books and co-edited 3 books in the domain.
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Machine learning
Kernel methods
Structured prediction
Network inference
Dynamical systems

Stephan Clémençon

Stephan Clémençon

Full professor - Head of the S2A Research Team
(Signal, Statistics and Learning)
He carries out his research activity in applied math in the Télécom Paris LTCI Lab. His research topics are mainly related to machine learning, probability and statistics.
He is in charge of the Big Data Post-Master Degree at Télécom Paris and held the Machine Learning for Big Data Chair from 2013 to 2018.
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Anomaly detection
Recommendation systems

Winston Maxwell

Winston Maxwell

Director of law and digital technology studies -
Co-director of the “Operational AI Ethics” program at Télécom Paris
Previously, he was a partner at the law firm Hogan Lovells, specializing in data law. He is a graduate of Cornell Law School and obtained a PhD in economics from Télécom Paris. His research work is focused on the regulation of artificial intelligence. In 2019 he was named lawyer of the year by Les Echos/Best Lawyers in data protection law, and in telecommunication regulation. Winston Maxwell has extensive experience in regulatory and fundamental rights requirements for new technologies, having worked extensively with ARCEP, CSA, CNIL, HADOPI, the Conseil d’État and the European Court of Justice on regulatory aspects of new digital technologies. Winston was a member of the National Assembly’s Commission on Fundamental
Rights in the Digital Age, and is a member of the CSA Lab, the think-tank of the French regulatory authority for broadcasting and media.
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Pavlo Mozharovskyi

Pavlo Mozharovskyi

Associate professor
After having finished his studies at Kyiv Polytechnic Institute in automation control and informatics, he obtained a PhD degree at the University of Cologne in 2014, where he conducted research in nonparametric and computational statistics and classification. He has been a postdoc at Agrocampus Ouest in Rennes with the Centre Henri Lebesgue for a year working on imputation of missing values, and then joined the CREST laboratory at the National School of Statistics and Information Analysis. His main research interests lie in the areas of statistical data depth function, classification, computational statistics, robust statistics, missing values, and data envelopment analysis.
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Data depth
Computational statistics
Robust statistics
Missing values
Data envelopment analysis

Jayneel Parekh

Jayneel Parekh

PhD student
Jayneel Parekh completed his PhD in machine learning at Telecom Paris (Institut Polytechnique de Paris), under the supervision of Prof. Florence d’Alche and Prof. Pavlo Mozharovskyi. He worked on developing interpretation methods for deep neural networks with applications to audio and image classification. Prior to his PhD, he completed his bachelors and masters in electrical engineering at IIT Bombay. His research interests span across domains of interpretable machine learning, computer vision and machine listening. In particular, the use of semantic representations for machine learning applications to audio, vision and interpretability.
Mélanie Gornet

Mélanie Gornet

PhD student
Mélanie Gornet is a doctoral student at Télécom Paris, Institut Polytechnique de Paris, where she focuses on regulation of artificial intelligence that encompasses social, legal and technical aspects. Her current projects focus on the standardisation and operational implementation of ethical criteria for AI systems, such as explainability and fairness. She is particularly interested in the compliance of AI systems in the context of the proposed European AI Act regulation.
She previously studied at SciencesPo Paris and ISAE-SUPAERO, specializing in AI and data science, and accompanied the working group on facial and behavioural recognition of the Comité National Pilote d'Ethique du Numérique (CNPEN).


As the leader in identity technologies, IDEMIA is on a mission to unlock the world and make it safer. Backed by cutting-edge R&D, IDEMIA provides unique technologies, underpinned by long-standing expertise in biometrics, cryptography, data analytics, systems and smart devices. IDEMIA offers its public and private customers payment, connectivity, access control, travel, identity and public security solutions. Every day, around the world, IDEMIA secures billions of interactions in the physical and digital worlds.

The LIMPID project coordination is ensured by IDEMIA.

Philippe Hercelin

Philippe Hercelin

Graduated in software engineering from ISEP Paris. He has more than 30 years of experience in the field of real time systems, identity and security technologies. He currently manages the European Project EINSTEIN and coordinates the French ANR project LIMPID.
Vincent Despiegel

Vincent Despiegel

Graduated in mathematics from ENS Lyon and PhD in mathematics from the Institut Fourier (Grenoble). He is a senior researcher in computer vision and signal processing. He has worked on detection and tracking, 3D vision, image enhancement or autonomous vehicles. He is research team leader at IDEMIA, working on video analytics for video protection and criminal investigation.

French National Research Agency

The French National Research Agency (ANR—Agence Nationale de la Recherche), founded in 2005 to promote French project-based research and to stimulate innovation, is a public administrative institution under the authority of the French Ministry of Higher Education, Research and Innovation. The agency funds project-based research carried out by public operators cooperating with each other or with private companies.

The LIMPID project has been granted a three-years funding through the Generic Call for Proposals 2020, under the “Artificial Intelligence” section: Projet-ANR-20-CE23-0028.


The results of LIMPID will directly contribute to guidelines and requirements that will be issued by government regulators at international level in the future, in connection with trustworthy Artificial Intelligence.

IDEMIA is engaged in various working groups with the World Economic Forum, as part of an initiative led by the Ministry of Foreign Affairs, to outline the contours of a “soft law” approach, complementary to the legislative systems in place, for a responsible deployment of facial recognition.

These working groups have already led to the publication of a responsible action framework for facial recognition in the case of passenger flow management, “seeking to address the need for a set of concrete guidelines to ensure the trustworthy and safe use of this technology”. The work of these working groups continues both on pilot operations to implement the principles evoked by the framework for action, and the extension to other subjects.

IDEMIA is involved both in the definition of these action frameworks, and in their operational implementation with public and private principals.