CV

Basics

Name Dorian Gailhard
Label PhD Student in Artificial Intelligence
Email dorian.gailhard@telecom-paris.fr
Url https://github.com/DorianGailhard
Summary PhD student at Télécom Paris. My research focuses on scalable machine learning methods for graph and hypergraph generation, structured combinatorial systems, and applications to Electronic Design Automation (EDA).

Work

  • 2024.05 - Present

    Saclay, France

    PhD Student
    Télécom Paris
    Advised by Jhony H. Giraldo, Enzo Tartaglione, and Lirida Naviner. Researching scalable generative models for graphs and hypergraphs with applications to Electronic Design Automation. Current work focuses on hierarchical graph generation, particularly diffusion- and flow-matching-based approaches, and reinforcement learning for combinatorial optimization problems arising in EDA.
    • Topic: System on Chips Design leveraging Artificial Intelligence
    • Fields: Graph theory, Generative models
  • 2023.05 - 2023.10

    Padua, Italy

    Research Intern
    Università degli Studi di Padova
    Supervised by Francesco Rinaldi and Damiano Zeffiro. Studied continuous formulations of variants of the Maximum Clique Problem in k-graphs. Investigated Lovász extensions and continuous relaxations for discrete combinatorial optimization problems, deriving theoretical results and developing Python and C++ implementations of the proposed methods.
    • Topics: Clustering, Graph Theory, Optimization, Tensor Theory, Python, C++ , Operations Research

Education

Skills

Languages
Python, C++, Java, C
Machine Learning
PyTorch, PyTorch Geometric, NetworkX, NumPy, Pandas, Matplotlib
Data
Spark, PostgreSQL
Infrastructure
Git, Docker, Linux, AWS

Languages

🦉 Duolingo
🇫🇷 French
Native speaker
🇬🇧 English
Advanced (C1)
🇪🇸 Spanish
Intermediate (B2.1)
🇮🇹 Italian
Intermediate (B2.1)
🇨🇳 Chinese
Beginner (A1)
🇸🇦 Arabic
Beginner (A1)
🇷🇺 Russian
Beginner (A1)