Édouard Bonnet

Édouard Bonnet is a CNRS researcher at the Laboratoire de l'Informatique du Parallélisme (LIP) in the MC2 team at École Normale Supérieure de Lyon. His research focuses on algorithmic and structural graph theory, representing significant contributions to theoretical computer science.

Dr. Bonnet serves as principal investigator of the ANR JCJC grant TWIN-WIDTH (2021-2025), demonstrating recognition of his research excellence. He coordinates the ENS Lyon computer science master 2 internships, playing a key role in graduate education. His involvement in multiple thesis defense committees scheduled for July 2025 confirms his active mentorship role.

Within the broader academic community, Bonnet serves on the board of GT CoA (Complexité et Algorithmes) and acts as local correspondent for both GT CoA and GT Graphes, highlighting his standing in the French theoretical computer science community. His habilitation thesis represents a significant scholarly achievement in the French academic system.

While specific publications aren't detailed in the provided information, his research focus suggests contributions to graph algorithms, graph classes, parameterized complexity, and structural graph theory, with particular relevance to the twin-width parameter development that has gained prominence in recent years.