Hey, I'm Arthur Danjou, an and a .

I work at the intersection of and . Unlike a pure theorist, I ship what I model. Unlike a pure developer, I understand the math behind the code.

My current work is dedicated to . Through my M2 internship, I focus on and .

To drive this research, I leverage Python, PyTorch and LaTeX to document and formalize architectures, relying on Docker and Linux to ensure reproducibility within my .

When I'm not debugging training dynamics or refining research pipelines, I enjoy and .

Scientific & Technical Arsenal

My research capabilities rely on a : for conception, and for execution.

Research & Engineering Path

Theoretical knowledge is nothing without concrete application. From to designing , my path reflects a constant shift toward high-impact and safety-critical challenges.

Academic Foundation

Mathematical rigor is the cornerstone of Safe AI. My background in provides the foundations to analyze, stress-test, and secure modern deep learning architectures.

Live Telemetry

Live telemetry from my homelab — my , system status, and activity history at a glance.