... Tony Bonnaire
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 am 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.

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

    Université Paris-Saclay

  • Engineering school, 2017



Fellow researcher
ENS, Université PSL
Jan 2022 – Present Paris, France

AI for physics and physics for AI: development of AI-based tools for astrophysics and cosmology and exploration of the links between theoretical physics and AI for a better understanding of AI systems. Teaching duty under the data science program of PSL University.

Postdoctoral researcher
ENS, Université PSL
Nov 2021 – Jan 2022 Paris, France

Applying statistical physics models for the understanding of machine learning algorithms.

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
Sep 2016 – Sep 2017 Élancourt, France

Conception and development of unsupervised algorithms to deinterleave radar pulses collected by satellites.