Our research topics

 
  • Omics data
  • Survival analysis
  • Populations dynamics
  • Epidemiology
Medical Image Analysis
  • Segmentation
  • Registration
  • Radiotherapy
  • Radiomics
  • Interpretability
Agro-environmental Modelling
  • Plant growth modelling
  • Crop systems biology
  • Precision farming
  • earth observation
Applied mathematics
  • Mathematical modelling
  • Statistical inference
  • machine and deep learning
  • Optimization, optimal control
  • Stochastic process

Our research projects

 
personDot

Prism

Prism

funded by ANR - collaboration between Gustave Roussy, CentraleSupélec, Inserm, Université Paris-Saclay
Target molecular mechanisms of cancer progression, assess biology cancer in its complexity and develop new IA methods, biotechnologies to model the early development of the disease, in order to deliver robust precision medicine tools.
voxel scale

RadioPredTool

RadioPredTool

2020- 3years - INSERM
coordinator: Veronique Lefort
Mathematical and computational modeling approaches to set up a personalized prediction tool of late iatrogenic effects of radiotherapy using voxel-scale distribution: Application to pediatric cancers

Our publications