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Solenne Gaucher, winner of the L'Oréal-UNESCO Young Talent Award, for Women in Science 2024

21 Oct. 2022
Congratulations to Solenne Gaucher, winner of the Prix Jeunes Talents 2024 Pour les Femmes et la Science France in the “Artificial Intelligence and Data for the Common Good” category! As one of 35 promising women researchers rewarded by the L'Oréal Foundation, in partnership with the French Academy of Sciences and the French National Commission for UNESCO, she joins the largest community of women scientists in the world, with more than 4,400 researchers from over 140 countries.
Solenne Gaucher, winner of the L'Oréal-UNESCO Young Talent Award, for Women in Science 2024

The world needs science, and science needs women. To promote their scientific excellence and provide ambassadors of science for future generations, the L'Oréal Foundation, in partnership with the French Academy of Sciences and the French National Commission for UNESCO, is rewarding 35 talented women scientists at doctoral and post-doctoral levels, as part of the national Jeunes Talents program, which is deployed in 140 countries and supports and encourages young female researchers at local level.

From nearly 800 applications received for this 18th edition of the Prix Jeunes Talents France Pour les Femmes et la Science, 25 doctoral students and 10 post-doctoral students were selected by a jury of excellence, chaired by Professor Alain Fischer, President of the French Academy of Sciences. Among them are three mathematicians interested in artificial intelligence and data for the common good, including Solenne Gaucher for her project: “Developing fair and inclusive algorithms”.

Solenne Gaucher is a polytechnician, holds a Master's degree in Probability and Statistics and a PhD in Mathematics from the Université Paris-Saclay. As part of her post-doctorate at ENSAE Paris and CREST, she developed fair machine learning algorithms to overcome data biases and limit their social repercussions, under the direction of Vianney Perchet (teacher-researcher and co-director of the Data Science, Statistics and Learning track at ENSAE Paris). . In particular, she contributed to the FAIRPLAY project-team, created in 2022 as part of a research partnership between Criteo and Inria, bringing together two researchers from Inria, five from ENSAE Paris-CREST and five from Criteo. At the same time, she was teaching at ENSAE Paris, as a lecturer in the Online learning and aggregation course.