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

• 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