Research topics

  • Statistical Learning
  • Clustering, classification, regression
  • Complex data: categorical, rank, functional, ordinal, big data...
  • Transfer Learning
  • Sensitivity Analysis
  • Applications to social humanities and life sciences

Ph. D. students

  • Alexandre Legrosse (start: April 2025)
    Multimodal Explainable Artificial Intelligence
    grant by EDF
    . Co-supervision with Julien Velcin
  • Selman Sezgin (start: December 2023)
    Federated learning optimized for connected vehicles based on intelligent modeling
    grant by Orange
  • Youba Abded (start: December 2023)
    Transfer learning for hydroprocessing kinetic models
    grant by IFPEN
  • Noé Lebreton (start: December 2022)
    Predictive ensemble modelisation with functional data approach
    grant by Data Prisme and co-cupervised with Julien Ah-Pine
  • Eliz Peyraud (start: January 2022)
    Transplantation results modeling from complex data
    grant by Institut Georges Lopez and co-cupervised with Guillaume Metzler
  • Francesco Amato (start: November 2021)
    Mixed data temporal clustering for modelling longitudinal surveys
    grant by IADoc@UdL, with Isabelle Prim-Allaz

Former Ph. D. students

  • Matteo Ventura (2021-25)
    Mixture models for ordinal data.
    grant by University of Brescia and co-cupervised with Paola Zuccolotto
  • Jean-Steve Tamo Tchomgui (2021-24)
    Functional linear regression models for heterogeneous data: Application to the prediction of QoE of video streaming and VoIP.
    grant by ORANGE Labs and co-cupervised with Stephane Chrétien
  • Martial Amovin (2019-23)
    Learning models for functional data applied to sensor networks
    CIFRE grant financed by ArpegeMasterK, with Irène Gannaz
  • Loïc Iapteff (2019-22)
    Transfer Learning for Smart Adaptative Analytics
    grant financed by IFPEN
  • Jean Dupuy (2018-22)
    Representation learning for structured document.
    CIFRE grant financed by MeetSYS, with Adrien Guille
  • Antoine Gourru (2018-21)
    Representation learning for dynamic structured data.
    Co-supervision with Julien Velcin
  • Margot Selosse (2017-20)
    Introducing parsimony to analyse complex data with model-based clustering.
    co-supervised with Christophe Biernacki
  • Komi Nagbe (2016-20)
    Prediction of production and consumption of renewable energy.
    CIFRE grant financed by ENERCOOP, co-supervision with Jairo Cugliari.
  • Amandine Schmutz (2016-19)
    Search for athlete horse locomotion analysis parameters by statistical and datamining tools.
    CIFRE grant financed by LIM Group, co-supervision with Laurence Chèze.
  • Yosra Ben Slimen (2015-18)
    Knowledge discovery for big data applied to the automatic management of radio networks.
    CIFRE grant financed by ORANGE Labs.
  • Quentin Grimonprez (2013-16)
    Change point detection in high dimension.
    Inria-DGA grant, co-supervision with Guillemette MarotT and Alain Célisse
  • Florence Loingeville (2013-16)
    Statistical tools for quality control in microbiological and ecotoxicological analyses.
    CIFRE grant financed by AGLAE, co-supervision with Cristian Preda
  • Loic Yengo (2010-14)
    Classification and variable selection in regression: application to the genetic study of metabolic diseases
    Co-supervision with Christophe Biernacki
  • Julie Hamon (2010-13)
    Analysis of genomic data: cooperation between statistical and combinatorial optimisation methods
    CIFRE grant financed by Gènes Diffusion, co-supervision with Clarisse Dhaenens