Teaching

Here is a link to the graph of my courses on probabilities that I give in the master TSI. It covers basics of probabilities / estimation theory / information theory, and ends with exponential families. The aim of this course is to provide a solid ground on these topics, without entering the topics of sigma-algebras and measurability. Here is a link to the software used to creat the graph from a latex document.

Demo tool for mathematical morphology

Codes

Here is a link to the python code of the paper:
Chevallier E., Li D., Lu Y., Dunson D., 'Exponential-wrapped distributions on symmetric spaces' submitted at SIMODS

Publications

Here is a link to my google scholar.

Videos:

• GSI 2021: Exponential wrapped distributions on SL(2,C) and the Mobius Group link
• GSI 2017: A family of anisotropic distributions on the hyperbolic space link
• GSI 2015: Probability density estimation on the hyperbolic space applied to radar processing link
• GSI 2015: Histograms of images valued in the manifold of colours endowed with perceptual metrics link

Bio

Since October 2018 I am an assistant professor at Aix-Marseille university (AMU), in the "physics and image processing" team of the Fresnel institute. My research is focused on data science problems involving particular geometric structures. More precisely, I have been interested / work on: 

• density estimation 
  • on manifolds (symmetric spaces and Lie groups)
  • in deterministic contexts (using the co-area formula)
• the geometry of the space of color derived from the MacAdam ellipses
• non-scalar mathematical morphology
• 3D shape processing and facial motions

Before joining AMU, I was a post-doc at Duke university with David Dunson and Jana Schaich Borg, a post-doc at the Weizmann institute with Ronen Basri, and a phd student at Ecole des Mines de Paris with Jesus Angulo.