- 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.
- 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
- 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
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