My research interests lie on the elaboration of methods for machine learning and stochastic optimization and their applications.

Methods

  • Deep Neural Networks
  • Large Language Models and Foundation Models
  • Out-of-Distribution Learning and Domain Generalization
  • Adversarial Machine Learning
  • Evolutionary Algorithms
  • Genetic Programming

Applications

  • Computer Vision
  • Microscopy and Neurosciences
  • Health
  • Transportation and Sustainable Mobility
  • Smart Grids

Project Pages

Software Projects

  • DEAP : Distributed Evolutionary Algorithms in Python
  • SCHNAPS : Generic Population-based Simulator for Public Health
  • Open BEAGLE : Generic C++ Framework for Evolutionary Computation
  • BEAGLE Puppy

Current Appointments

Previous Appointments