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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

PAB's Projects

abud icon abud

A tiny pub-sub lib for streaming

anomaly_detection icon anomaly_detection

Implementation in Python of the anomaly detection algorithm taught in the Stanford Machine Learning course on Coursera

astronvim icon astronvim

AstroNvim is an aesthetic and feature-rich neovim config that is extensible and easy to use with a great set of plugins

bark.cpp icon bark.cpp

Suno AI's Bark model in C/C++ for fast text-to-speech

benchopt icon benchopt

Making your benchmark of optimization algorithms simple and open

coding-exercises icon coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

fgfr3mut icon fgfr3mut

Official Implementation of the "AI allows pre-screening of FGFR3 mutational status using routine histology slides of muscle-invasive bladder cancer" paper

ggml icon ggml

Tensor library for machine learning

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