I am currently a PhD student in privacy-preserving ML under the supervision of Aurélien Bellet in Magnet team. I was previously 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 am interested in the social impact of machine learning. I graduated from Master Degree of Philosophy at Paris 1 Panthéon Sorbonne. I did various projects for the popularization of science. Furthermore, 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 engineering, 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 industries.
Among others topics, I am interested in:
- privacy-preserving Machine Learning
- federated and decentralized learning
- fair machine learning
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 “Cyffers” and “see fair”.