About me

• I work as a Data Scientist at AI biotech Owkin.
• Previously, I interned at INRIA Parietal on solving neuroscience (M/EEG) inverse problems.
• I graduated from Ecole Polytechnique and HEC Paris with a double major in data science and management.

In 2022, I co-created skglm, a fast sklearn-compatible solver for sparse generalized linear models. More recently, I've become interested in fast inference for large language models. I have implemented Bark.cpp, a port of SunoAI's Bark model in C/C++, as well as specialized models like BioGPT.cpp.

Cool open-source projects I contributed to

• MNE-Python, a toolkit for exploring neurophysiological data in Python
• Linfa, the leading crate for machine learning and data analysis in Rust
• Benchopt, a benchmarking suite for optimization algorithms

Other projects I worked on

• Encodec.cpp, Meta's neural codec model ported in C++
• SparseGLM, a fast coordinate descent solver in Rust
• Nanograd, a lightweight deep learning framework built around Numpy arrays
• NarrateMate.ai, a Next.JS web app to practice language comprehension listening to YouTube videos