Jean Feydy's home page

About

I am a research fellow (chargé de recherche) in the HeKA Inria team hosted at PariSanté Campus. Prior to that, I did my PhD under the supervision of Alain Trouvé at the ENS Paris-Saclay and worked as a PostDoc at Imperial College London in the team of Michael Bronstein. Here is a short CV.

I am primarily interested in geometry - from computer graphics to Riemannian manifold embeddings - with a focus on medical applications. My main research interests are:

  • Computational anatomy: shape analysis for medical imaging and biology.
  • Optimal transport theory: generalized sorting algorithms in dimension D > 1.
  • Geometric data analysis: graph- and measure-theoretic methods to study large datasets.

July 2020: Geometric data analyis, beyond convolutions

I defended my PhD thesis on July 2nd, 2020: a related video recording is available here. My thesis is the most accessible reference on my work: it is written as an introductory textbook for data sciences and shape analysis, from a geometric perspective. If you just saw one of my talks on symbolic matrices, geometric learning and large-scale optimal transport, here is what you are looking for: KeOps library, GeomLoss package, Slides for the defense, PhD thesis.

Summary

Miscellaneous

My wife Anna is doing inspiring work on 3D shape textures. Check it out!

Curvatubes

I played the flute for 11 years at the Conservatoire Paul Dukas, in Paris. I especially enjoy playing baroque music: J.S. & C.P.E. Bach, J.J. Quantz, G.P. Telemann... I gratuated from the Conservatoire in June 2014, obtaining a "Certificat de Fin d'Études Musicales" diploma (Mathematics in Music). I am currently learning how to play the balalaika - check out this fantastic piece by Alexey Arkhipovsky to understand why!

My other interests include ancient history, Chinese culture and pedagogy. Here are some books, blogs and videos that I would strongly recommend: