Tony Bonnaire

Tony Bonnaire

Postdoctoral researcher

École Normale Supérieure de Paris

About me

I graduated from the french engineering school CentraleSupélec with a major background in applied mathematics and algorithmic. After a year of working as a research engineer in Thales, I decided to begin a Ph.D. program in Université Paris Saclay, at the Institut d’Astrophysique Spatiale, under the supervision of Nabila Aghanim (IAS) and Aurélien Decelle (UCM, LRI). I’m currently a postdoctoral researcher at the École Normale Supérieure (ENS) in Paris working on the interfaces between statistical physics and machine learning algorithms in Giulio Biroli’s team at the center for data sciences.

Interests
  • Interfaces physics/machine learning
  • Algorithmics & Machine Learning
  • Cosmology: Large-scale structures of the Universe
Education
  • Ph.D. in Astrophysics & Cosmology, 2021

    Université Paris-Saclay

  • Engineering school, 2017

    CentraleSupélec

Experience

 
 
 
 
 
Postdoctoral researcher
ENS, Université PSL,
Nov 2021 – Present Paris, France
Interface between statistical physics and machine learning.
 
 
 
 
 
Ph.D. Student
IAS, Université Paris-Saclay,
Sep 2017 – Nov 2021 Orsay, France
Cosmic web environments: identification, characterisation and quantification of cosmological information.
 
 
 
 
 
Research Engineer
Thales
Sep 2016 – Sep 2017 Élancourt, France
Conception and development of an unsupervised algorithm to deinterleave radar pulses emitted by satellites.

Recent Publications

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(2021). Shape and connectivity of groups and clusters: Effect of the dynamical state and accretion history . In Astronomy and Astrophysics.

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(2019). T-ReX: a graph-based filament detection method. In Astronomy and Astrophysics.

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