https://www.insmi.cnrs.fr/en/cnrsinfo/three-mathematicians-win-young-talents-france-loreal-unesco-2024-prize

Three mathematicians win the Young Talents France L'Oréal-Unesco 2024 prize

14 October 2024

Distinctions

The 2024 winners of the Jeunes Talents France L'Oréal-UNESCO Pour les femmes et la science ("For women and science") program were announced on Tuesday, October 8. They include three mathematicians: Solenne Gaucher, Madeleine Kubash and Sibylle Marcotte. Congratulations!

The Jeunes Talents France L'Oréal-UNESCO For Women in Science program aims to promote and support the involvement of young women in scientific research. The program identifies and rewards talented young women researchers in life and environmental sciences, material sciences, mathematics, computer and information sciences, engineering and technology.

Discover the three mathematics winners of 2024:

Solenne Gaucher – Developing fair and inclusive algorithms

Solenne Gaucher is a polytechnician, holds a Master 2 in probability and statistics and a PhD in mathematics from the Université Paris-Saclay. She is currently a post-doctoral fellow at CREST 1 , in the joint FairPlay team, where she is developing fair machine learning algorithms to overcome biases in data and limit their social repercussions.

Her personal page

1CNRS/École Polytechnique/Groupe des Écoles Nationales d’Économie et Statistiques

I love research, the freedom it offers, the pleasure of working on subjects that interest me, of really understanding a problem after having stumbled on it for a long time.

Portrait de Solenne Gaucher — © Fondation L’Oréal – Clémence LOSFELD et Richard PAK

Madeleine Kubasch – Using mathematics to decipher the spread of epidemics

A committed woman, Madeleine Kubasch works on subjects linked to contemporary challenges: epidemiology for her thesis, carried out at CMAP 2 , and agroecology for her post-doctorate currently in progress. She also enjoys getting involved in outreach activities for the general public, and is keen to make mathematics more accessible to women.

Her personal page

2CNRS/École Polytechnique/Inria

There is still progress to be made in mathematics research, where women remain under-represented.

Portrait de Madeleine Kubasch — © Fondation L’Oréal – Clémence LOSFELD et Richard PAK

Sibylle Marcotte – Improve understanding of machine learning tools

Sibylle Marcotte is an alumnus of the Ecole Normale Supérieure in Rennes, and holds a Master 2 in Mathematics from Sorbonne University. Her research focuses on the neural network optimization process in intelligent computer learning. As part of her mathematics thesis at the DMA 3 , she deciphered the workings of the complex systems that enable computers to perform tasks such as image recognition and language translation in real time.