I am professor of computer science at INSA Lyon since 2014, in the Industrial Engineering department.

I work at LIRIS lab, in the DM2L (Data Mining and Maching Learning) team.

I receive my research habilitation in December 2013 from the University Claude Bernard Lyon 1.

Research domain

My research domain is rooted in data mining methods. I work on co-clustering, pattern mining under constraints, and graph modeling. I am also interested in data science applications. I am currently working on the following subjects:
  • Pattern and exceptional model mining in attributed and dynamic graphs
  • Social data analysis
  • Interactive model mining
  • Interpretable machine learning models.


  • Wait4 (2022-2027) -- PEPR Agroécologie et numérique -- The project consider improving animal welfare (AW), recognized as a key element for the sustainability of livestock production systems. The environmental conditions in the coming years will be more variable due to the consequences of the global warming, and will have even wider effects on animals reared in AE systems (less optimized, outdoor conditions). This makes the development of new assessment tools of AW and of decision tools even more useful than at present, in order to adopt AE practices improving AW. Strategies to improve AW are highly dependent on the measurements of traits underlying physiology, behavior and perception of the animal when facing various challenges. The project WAIT4 will exploit new opportunities offered by digital technologies to monitor the different components of AW in real time, and will develop new approaches in artificial intelligence to consider large sets of heterogeneous data collected through these equipment on/in/around the animal.
  • Portrait (2022-2025) -- ANR PRCE with Humans Matter -- has for objectives to propose and evaluate new techniques for establishing a psychiatric diagnosis that uses advanced AI techniques in order to reduce the time of administering questionnaires while maintaining a high level of sensitivity and specificity of the evaluation. For this, we propose to adapt the questions submitted to the patients according to their previous answers. By proposing a new standardized and more effective protocol, we hope that it can be used by a large number of health professionals, in order to better guide patients in their psychiatric care pathway. The redundancy of the questions and their non-adaptation to the patient’s profile are the challenges that we tackle in this project using advance AI techniques.
  • Academics (2018-2021) -- call for projects Scientific breakthrough of IDEX Lyon-- The project goal is to develop Machine Learning and Data Science approaches for Complex and Dynamical Models for climate and digital society.
    Partners: ENS Lyon, University of Saint-Etienne, INSA Lyon.
  • GRAISearch (2014-2018) -- European project Marie Curie Industry-Academia Partnerships and Pathways (IAPP) Call: FP7-PEOPLE-2013-IAPP.-- In this project we developed methods to detect geo-located events from social network data.
    Partners : Tapastreet Ltd, Trinity College Dublin, INSA Lyon.
  • RESALI: REseaux et Système ALImentaire (2015-2019) -- Labex IMU (laboratoire d'excellence d'Intelligence des Mondes Urbains-- Labex IMU (laboratory of excellence for the intelligence of urban worlds) Multidisciplinary project whose objective is to analyze, with geographer colleagues from the EVS laboratory, territorial systems and trophic networks by heterogeneous data mining approaches and cartographic representations. Partners: ENS Lyon, INSA Lyon.