Summary
Théo Jolivet is a data scientist based in Paris with six years of experience applying Bayesian methods, NLP evaluation, and distributed PySpark pipelines to clinical and scientific problems. At AP-HP he built an NLP evaluation and distributed computing codebase from scratch, recruiting and supervising contributors while enabling clinical research at scale. His background spans pharma and biotech analytics, academic research on exoplanet imaging, and continuous optimization, reflecting a strong bridge between theory and production. As a core open-source contributor to skrub, he’s improved tabular processing interoperability between Pandas and Polars and led API design and releases—an indicator of pragmatic engineering and collaborative stewardship.
6 years of coding experience
1 year of employment as a software developer
ENS Paris-Saclay Diploma, Electrical Engineering, ENS Paris-Saclay Diploma, Electrical Engineering at École normale supérieure Paris-Saclay
Higher National Diploma, Instrumentation and Measurements, Higher National Diploma, Instrumentation and Measurements at Aix-Marseille Université
Master of Research (M.Res.) StatML, Statistics and Machine Learning, Master of Research (M.Res.) StatML, Statistics and Machine Learning at Université Paris-Saclay
English, French