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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.

I am interested in high-performance computing with Julia across both GPU and CPU architectures. I’m developing Luma.jl, a Julia package for portable, high-performance parallel primitives like mapreduce and accumulate. The goal is to match the performance of vendor-optimized libraries like NVIDIA’s CUB while maintaining cross-platform compatibility through KernelAbstractions.jl. Luma.jl builds on KernelIntrinsics.jl, a lower-level package I’m developing that provides fine-grained control over memory ordering, warp-level operations, and vectorized memory transactions.

contact: firstname.lastname@ensai.fr

Preprints

  • E. Pilliat Adaptive Algorithms for Infinitely Many-Armed Bandits: A Unified Framework (2025) [presentation],[arxiv]

Publications

  • E. Pilliat, Recovering Labels from Crowdsourced Data: An Optimal and Polynomial-Time Method (2025) COLT [presentation]
  • A. Garivier, E. Pilliat, On Sparsity and Sub-Gaussianity in the Johnson-Lindenstrauss Lemma (2024) TMLR [arxiv]
  • E. Pilliat, A. Carpentier, N. Verzelen, Optimal rates for ranking a permuted isotonic matrix in polynomial time (2024) SODA [presentation]
  • 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.