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  • DEEL @ IRT Saint Exupéry / SNCF - PhD student

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massena-t/README.md

Thomas Massena

Deep learning · optimization · efficient training · trustworthy AI

PhD researcher @ IRIT / DEEL × SNCF

website · google scholar · email

about

I am currently a PhD student at IRIT, within the DEEL project. I work on optimization and trustworthy AI for deep neural networks, with an emphasis on turning research ideas into fast, usable implementations.

Most of my work sits somewhere between:

optimization · privacy · robustness · distributed training

And I am familiar with:

PyTorch · JAX · TensorFlow · Triton · Linux · Slurm

code

deel-ai-papers/schatten-muon
PyTorch implementation of adaptive Schatten-norm optimization.

flash-newton-schulz
Fast Newton–Schulz orthogonalization with Triton kernels.

jaxlip
JAX tooling for Lipschitz-constrained neural networks.

deel-ai/lipdp
TensorFlow differentially private training with Lipschitz neural networks.

google-deepmind/optax#1602
Turbo-Muon / pre-conditioned Newton-Schulz implementation merged into Optax.

Open to Research Scientist roles — July 2027 or earlier

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