Associate professor in computer science at INSA Lyon (Department of Industrial Engineering) and LIRIS laboratory (UMR 5205 CNRS).

Member of Intelligence des Mondes Urbains (IMU) research institute.
Member of SciDoLySE (Science des Données à Lyon et Saint-Etienne) research group.

INSA Lyon, Université de Lyon,
Batiment Blaise Pascal
F-69621 Villeurbanne cedex, France

My research is oriented towards pluri-disciplinary aspects of Natural Language Processing (NLP), information retrieval, data mining, digital humanities and geographical information science  (GIS) (cf. list of publications).
I was previously (2016-2018) a postdoctoral researcher at the Naval Academy Research Institute (IRENav) in France, where I worked with Prof. C. Claramunt. I hold a PhD in computer science from the University of Pau (France) and University of Zaragoza (Spain) (supervised by Prof. M. Gaio, Prof. J. Nogueras-Iso and Dr. S. Mustière).

Ongoing projects

  • HExtGEO, IDEX Lyon Impulsion (2019-2020)
    This project aims to design a software platform integrating different methods of the field of artificial intelligence combining NLP and Data Mining for the processing and analysis of geographic information. This project will strengthen interdisciplinary collaborations and federate research in engineering (computer science, data science) and social sciences (geography, history) around digital and societal issues related to the territory and the exploitation of textual data.
  • GéoDisco, MSH Lyon St-Etienne (2019-2020,
    Géodisco combines GIS, NLP, textometry and discourse analysis around the same question: “What geographical representations of the world do French encyclopedias convey through their discourses, and what do these representations tell us about the time when these encyclopedias were written and published? This project is part of a network of national and international collaborations around encyclopedias and dictionaries.
  • HIL, LabEx IMU (2018-2019,
    The aim of the project is to improve the spatial recommendation procedures by proposing neighbourhoods to people seeking housing. It consists of two parts. The first concerns the analysis and categorisation of neighbourhoods through a multidisciplinary perspective. Based on existing data, this involves producing an original typology of neighbourhoods in the Lyon conurbation and formalising these results and selected indicators in a computer model. The second part concerns the recommendation itself, with the aim of developing a method for matching the types of neighbourhood and the profiles of purchasers using the Home in Love platform.
  • Spatial History of the Encyclopédie (
    The project focuses on using new methods in Named Entity Recognition (NER) to interpret the spatial horizons of the Encyclopédie ou Dictionnaire raisonné des sciences, des arts et des métiers, par une Société de Gens de lettres (First Paris edition 1751-1772, in 17 volumes of text and 11 volumes of plates).
  • CHOUCAS, ANR project (2017-2021,
    Integration of heterogeneous data and spatial reasoning for assistance in locating victims in mountains. The project CHOUCAS is interdisciplinary involving researchers in geographic information sciences, computer science and natural language processing. The aim of the project is to provide methods and tools for enriching, structuring, querying and visualising spatial data coming from heterogeneous sources and reasoning to help the rescue teams to speed up the phase of victims location and to better estimate a probable location area.


Research interest

  • Natural Language Processing (NLP), Text mining and Linked Data (LOD)
  • Geographical Information Retrieval (GIR)
  • Hybrid approaches for IR (machine learning and rule based methods)
  • Digital humanities
  • Semantic-based GIS




  • Data Science
  • Algorithms and data structures
  • Programming
  • Databases and XML


  • Computer architecture and operating systems
  • Relational databases
  • Information retrieval
  • Semantic web
  • Algorithms and Programming
  • Networks
  • Latex



INSA Lyon, Université de Lyon,
7 Avenue Jean Capelle O, 69100 Villeurbanne
Batiment Blaise Pascal
F-69621 Villeurbanne cedex, France