I’m currently working as a PhD student in the NeuroPhysics team of the MSC laboratory in Paris 7. My thesis subject concerns the growth and activity of neural cultures, focusing on the emergence of organized behaviors.

The goal of my PhD is to understand how we could turn neuronal cultures into devices able to 1) process signals in a “meaningful” way 2) respond to specific inputs after tranining.


  • 2015–2018: PhD student in the CNRS/Paris Diderot University “Matter and Complex Systems Laboratory”, supervised by P. Monceau and S. Bottani.
    Subject: Growth and activity of neural cultures, emergence of organized behaviors.
    Theoretical work based on the observations from our collaborators in Barcelona and at the Weizmann and Curie institutes, in Rehovot (Israel) and Paris.
  • 2014–2015: 2nd year of masters degree in the École Normale Supérieure (ENS) of Lyon, majoring in statistical physics, nonlinear dynamics and complex systems/networks (highest honors).
    Internship: P. Dominey (SBRI, Bron), Influence of topology on the efficiency of neural networks; collaboration with the team of H. Kennedy.
  • 2013–2014: Passed the “Agrégation” of physics (highest French competitive exam for physics teachers) with rank 16.
  • 2012–2013: 2nd year of masters degree in the ENS Lyon. 3-month internship in Japan: T. Kawai (NAIST), Photochromes, circular dichroism, and chiral luminescence.
  • 2011–2012: Bachelor degree in the ENS Lyon, in Matter Sciences (highest honors). Internship: Y. Petit (ICMCB, Bordeaux), glasses for high-density data storage using nonlinear optics.
  • 2009–2011: Prep-school in mathematics, physics, and chemistry (Toulouse, France). Accepted to the École Polytechnique and the ENS Lyon.


  • Computer science:
    • Unix administration, cluster management.
    • Hybrid programming in MPI/OpenMP (C++).
    • Object-Oriented and scientific programming in Python/Cython.
    • Member and developer in the NEST initiative.
  • Relevant software:
    • NEST, for parallel simulations of neuronal activity.
    • Graph-tool, for network analysis.
    • NNGT (personal library), for network generation and topology–activity correlation analysis.
  • Languages:
    • English, C2 level.
    • German (former B2).
    • Japanese, B1 level.