About me

Hello and welcome to my website!

I’m Vincent, a machine learning engineer with over five years of expertise spanning healthcare and fintech sectors.

Olivier Grisel and I during our poster presentation at EuroScipy 2023

Current endeavors:

At Inria Saclay, I'm part of the Soda team (opens in a new tab), contributing to open-source libraries like scikit-learn (opens in a new tab), skrub (opens in a new tab), and hazardous (opens in a new tab). On scikit-learn, I focused on optimizing pairwise distance for sparse matrices, which resulted in a 20x speedup for algorithms like kNN and tSNE.

I'm also a maintainer of skrub, a data wrangling project led by Gaël Varoquaux. Skrub mission is to enhance data preprocessing with machine learning, “less data wrangling, more machine learning.”

Research & Contributions:

Together with Olivier Grisel, we created hazardous, aiming to make survival analysis and competing risks more accessible to the Python community. We then wrote the paper "Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks" with Julie Albert.

Speaking Engagements:

I've been lucky enough to present our work at JupyterCon 2023, EuroScipy 2022 & 2023, and the Axa Dev Summit 2023, sharing insights on survival analysis and introducing skrub to a diverse audience.

Educational Pursuits:

I taught Python for Data Science at Polytechnique and survival analysis at Dauphine University, where I used Kaggle and Jupyterlite to ensure an interactive learning experience.

Past Experiences:

Before joining Inria, I was a ML engineer at Spendesk, a leading European startup. My projects ranged from transactions and revenue forecasting to real-time detection of duplicated transactions and churn probability estimation. I also co-founded Chasseur Particulier, a prominent flat-hunter agency in Paris, where I developed the backend scraper.

Academic Credentials:

I hold an MSc in Engineering from Grenoble Alpes University (opens in a new tab), INP Phelma, specializing in Signal Processing, Computer Science, and Machine Learning.

Connect with Me:

Feel free to engage with me on LinkedIn (opens in a new tab), Github (opens in a new tab), and Kaggle (opens in a new tab).

📝 See my full Resume (opens in a new tab)