Presentation
I am an assistant professor in statistics at ENSAI (Rennes) working on topics related to machine learning and high-dimensional statistics. My PhD centered on two areas in modern statistics: change-point detection and ranking problems.
contact: firstname.lastname@ensai.fr
Publications
- E. Pilliat, A. Carpentier, N. Verzelen, Optimal rates for ranking a permuted isotonic matrix in polynomial time (2024) SODA
- E. Pilliat, A. Carpentier, N. Verzelen, Optimal permutation estimation in crowd-sourcing problems (2023) Annals of Statistics. [arxiv], [presentation],[poster]
- E. Pilliat, A. Carpentier, N. Verzelen, Optimal multiple change-point detection for high-dimensional data (2023) EJS [arxiv]
Vitae
Research
- Sep 2024 - Present: assistant professor in statistics at ENSAI
- 2024: Postdoctoral researcher at ENS Lyon
- Feb 2020 - Apr 2022 and Oct 2022 - Dec 2023: PhD Student at Université de Montpellier and INRAE
- 2019: Research Project at Ecole Normale Supérieure Paris Saclay with Vianney Perchet on Optimal Order Selection for an Online Reward Maximization problem
- Apr 2019: Research Project at OVGU Magdeburg with Alexandra Carpentier on Signal Detection and Change-Point Detection
- 2018: Research Internship at the University of Cambridge on Gaussian Free Field
Experience
- Apr 2022 - Oct 2022: Quantitative Intern at QRT
Education
- 2016-2020: Student at Ecole Normale Supérieure de Lyon
- 2013-2016: Preparatory School of Mathematics and Physics (CPGE MPSI/MP*) in Strasbourg
Teaching
- 2020-2022: Teaching assistant at Université de Montpellier.