Nathan Noiry is a post-doctoral researcher in the S2A (Signal, Statistics and Learning) team at Telecom Paris. He is interested in issues related to machine learning, particularly in the field of transfer learning. After studying mathematics at the ENS in Lyon, Nathan wrote a thesis on random matrices and random graphs.
What does datacraft bring you?
Datacraft allows me to enrich my knowledge with contact with many experts from the world of data science. Collaborations with different actors in the private sphere are a unique opportunity to confront concrete issues.
What motivates you in your daily work as a data expert?
The interface between theory and applications: finding algorithms that respond to concrete problems and obtaining guarantees on their performance.
