I am Denis Fouchard (df), mathematics and computer science student at Télécom Paris, France's leading engineering school in the domain of digital technologies¹ and member of the Polytechnique Institute of Paris.

I specialize in data science and machine learning, as well as foundations of CS and operational Research.

My programmation languages:

Python ⭐️⭐️⭐️⭐️⭐️

OCaml ⭐️⭐️

Java/Swing ⭐️⭐️⭐️

TypeScript ⭐️⭐️⭐️

C++ ⭐️

Prolog ⭐️ My favourite libraries for ML:

• polars (high performance parallelizabale data processing)
• scikit-learn (for data preprocessing / analysis)
• scikit-network (for graph ML / diffusion)
• pytorch / torch-lightning (for custom-made models)
• pytorch-geometric (for graph learning)
• transformers / peft (for LLM fine-tuning)
• nilearn (for fMRI data)

My setup:

• OS : macOS 15 Sequoia / Remote SSH Debian
• IDE : VSCode (tried to switch, but extensions keep me locked in)
• Extensions :
• Python Environments : Conda/Mamba (Mamba is crazy fast)
• Terminal/Shell : Ghostty/fish (Ghostty is so much faster, and fish has great autocomplete)
• LaTeX : overleaf
• AI / Code Assistant : ChatGPT / Github Copilot

Favourite VSCode extensions :

• Github/Github Actions/ Github Tree
• Python : Black Formatter / Flake8 / Jupyter / TensorBoard
• vscode-icons
• Todo Tree

Former intern at Inria Paris Saclay, in the MIND team, working on fMRI series alignment.

Former developper intern at Dassault Systèmes / Netvibes (Exalead), working on Agentic LLM Text-to-DB on SemanticGraphIndex.

Master Thesis at Télécom Paris on Knowledge graphs entity typing with GNNs and LLMs.

Currently in Imperial College (Electronic and Electrical Engineering/ Computing)

You can reach me by mail at denis[ᴅᴏᴛ]fouchard[ᴀᴛ]telecom-paris[ᴅᴏᴛ]fr