Before joining KCL in 2019, Samuel completed a BSc degree and a MSc degree in Applied Mathematics at CentraleSupelec and a MSc degree in Computer Science at Ecole Normale Superieure Paris Saclay. As a PhD student supervised by Dr. Marc Modat and Prof. Tom Vercauteren, his main objective is to improve learning based registration algorithms for tasks involving long range complex deformations. His main interests are: Medical image registration, Bayesian inference, Probabilistic modeling and Machine learning.

Interests

  • Medical image registration
  • Uncertainty estimation
  • Machine learning

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