cv

Postdoctoral researcher

Ecole Polytechnique Federale De Lausanne

• Hierarchical community detection
• Clustering mixture models
• Metric sparsification of graphs

High-school Mathematic teacher

High-school in Grenoble & Annecy, France

Reviewer

Peer review for various scientific journals and conferences.

• Conferences: NeurIPS, ICLR, AISTATS, SIGMETRICS, Complex Networks

PhD

INRIA Sophia Antipolis, France

Computer Science

• Graph clustering and semi-supervised learning of non-binary, temporal and geometric networks

Agrégation de Mathématiques

Université Toulouse Paul Sabatier

Mathematics

• Agrégation is the highest degree of teaching certification in France, Master level

Master & Bachelor

ENS Lyon

Physics

• Graph clustering and semi-supervised learning of non-binary, temporal and geometric networks

Statistical Analysis of Networks

Now Publishers

This book is a general introduction to the statistical analysis of networks, and can serve both as a research monograph and as a textbook. Numerous fundamental tools and concepts needed for the analysis of networks are presented, such as network modeling, community detection, graph-based semi-supervised learning and sampling in networks. The description of these concepts is self-contained, with both theoretical justifications and applications provided for the presented algorithms.