I am currently a Postdoc at ISTA working with Christoph Lampert and Marco Mondelli on Trustworthy Machine Learning. Previously, my PhD was supervised by Aurélien Bellet in the Magnet team, on the topic of Differential Privacy for Decentralized Learning, and I was awarded the L’Oréal-UNESCO Young Talents award for my doctoral work.

I was previously a civil servant for my studies at ENS Lyon in Computer Science. I graduated from a dual-degree programme as a civil engineer at MINES ParisTech. I have a Master’s of Research degree in applied mathematics for machine learning (MVA).

I chose to work on machine learning because of its social impacts and the thrilling idea of learning from high-dimensional data. I graduated with a Master’s Degree in Philosophy at Paris 1 Panthéon Sorbonne. I did various projects for the popularization of science, and I seek to continue exploring the philosophical and outreach aspects of machine learning in the future. I am particularly drawn to privacy, fairness, accountability, and regulatory issues with regard to ML from a mathematical point of view.

As a woman in STEM, and more particularly in CS/maths research, I am a firm believer in diversity and I strive to advocate at a personal level by volunteering in projects that promote girls and women in STEM. I participate in a lot of local actions, but I currently chose to focus on a big event: EGMO 2026 in France. The European Girls’ Mathematical Olympiad is an international mathematical contest of a very high level, aiming to encourage girls to discover and explore their mathematical talent. If you are interested in sponsoring the event, please contact me.

How to prononce my name?

I don't care if you have an unusual prononciation, and I am very bad at pronouncing foreign names. You can pronounce my first name as Harry pronounces his owl's name in Harry Potter. For my last name, that's the same prononciation "Il faut Cyffers" and "Il faut s'y faire" in French, and nearly the same for "Cyffers" and "see fair".