CV

Basics

Name	Dorian Gailhard
Label	PhD Student in Machine Learning
Email	dorian.gailhard@telecom-paris.fr
Url	https://github.com/DorianGailhard
Summary	I am a third-year PhD student in Artificial Intelligence at Télécom Paris (LTCI, COMELEC), with a defense expected in May 2027. My research focuses on scalable generative modeling and combinatorial optimization on graphs and hypergraphs, with applications to Electronic Design Automation (EDA), in collaboration with Arteris.

Work

2024.05 - Present

Saclay, France
PhD Student

Télécom Paris

Research on scalable generative models for graphs and hypergraphs, with applications to EDA and collaboration with Arteris. Current work focuses on hierarchical generation using diffusion and flow matching, as well as reinforcement learning for combinatorial optimization.
2023.05 - 2023.10

Padua, Italy
Research Intern

Università degli Studi di Padova

Studied continuous formulations of the Maximum Clique Problem on k-graphs, including Lovász extensions and relaxations for discrete combinatorial optimization, with implementations in Python and C++.

Education

2022.09 - 2023.04

Saclay, France
M2 MVA

ENS Paris-Saclay

Research-oriented program covering machine learning, artificial intelligence, optimization, computer vision, and applied mathematics.
2021.09 - 2023.06

Sophia Antipolis, France
Master of Science

Eurécom

Engineering-oriented program covering data science, machine learning, statistical learning, cloud computing, and large-scale data processing.
2020.09 - 2023.06

Saclay, France
Engineering Degree

Télécom Paris

Broad engineering curriculum with a specialization in computer science, covering algorithms, software engineering, mathematics, signal processing, and telecommunications.
2018.09 - 2020.06

Versailles, France
Preparatory Classes MPSI-MP*

Lycée Hoche

Intensive curriculum in mathematics, physics, and computer science.

Skills

	ML & Scientific
	PyTorch (Geometric, Distributed), JAX, NumPy

	Programming
	Python, C++, C

	Research Infrastructure
	Slurm, Hydra, Weights & Biases, Docker, Git, Linux, AWS

Languages

	🇫🇷 French
	Native speaker

	🇬🇧 English
	Advanced (C1)

	🇪🇸 Spanish
	Intermediate (B2.1)

	🇮🇹 Italian
	Intermediate (B2.1)

	🇨🇳 Chinese
	Beginner (A1)

	🇸🇦 Arabic
	Beginner (A1)

	🇷🇺 Russian
	Beginner (A1)