Alexandre Blain

Alexandre Blain

PhD candidate at INRIA Parietal / Institut de Mathématiques de Toulouse

About me

I am a third year PhD student at Inria Parietal and Institut de Mathématiques de Toulouse (CNRS). I work under the supervision of Bertrand Thirion and Pierre Neuvial on statistics and machine learning for brain imaging (functional MRI).

I previously studied Statistics and Machine Learning at ENSAE Paris and at Master MVA (Mathematics, Vision and Learning) hosted by École Normale Supérieure Paris-Saclay.

Papers

Notip: Non-parametric True Discovery Proportion control for brain imaging, A. Blain, B. Thirion, P. Neuvial. NeuroImage, 119492. Full text

False Discovery Proportion control for aggregated Knockoffs, A. Blain, B. Thirion, O.Grisel, P. Neuvial. NeurIPS 2023. Full text

Software

sanssouci.python package, L. Risser, P. Neuvial, A. Blain, B. Thirion, repo

Notip, A. Blain, B. Thirion, P. Neuvial, repo

KOPI, A. Blain, B. Thirion, P. Neuvial, repo

Talks

False Discovery Proportion control for aggregated Knockoffs, November 2023, Inria Parietal team meeting, Paris

False Discovery Proportion control for aggregated Knockoffs, September 2023, ANR Fast-Big workshop @ Institut Henri Poincaré, Paris

Notip: Non-parametric True Discovery Proportion control for brain imaging, December 2022, International Seminar on Selective Inference

Notip: Non-parametric True Discovery Proportion control for brain imaging, September 2022, ANR Fast-Big workshop, Paris

Notip: Non-parametric True Discovery Proportion control for brain imaging, August 2022, MCP conference, Bremen, Germany

Notip: Non-parametric True Discovery Proportion control for brain imaging, June 2022, Inria Parietal team meeting, Paris

Adaptive post-hoc bounds for fMRI inference, March 2022, ANR SansSouci workshop, Institut de Mathématiques de Toulouse (CNRS).

Post hoc approach for multiple testing in brain imaging, February 2022, Institut Henri Poincaré, Paris.

Education

  • PhD in Maths/Computer Science, Inria Parietal, Université Paris-Saclay, Paris, France, 2021 - 2024

  • Research Master 2 MVA “Mathematics, Vision and Learning”, Ecole Normale Supérieure Paris-Saclay, Paris, France, 2020-2021.

  • Engineer, Statistician and Economist diploma, ENSAE Paris, Data Science Statistics and ML track, Paris, France, 2018-2021.

  • Classe Préparatoire aux Grandes Écoles, Maths and Physics, Lycée Bellevue, Toulouse, France, 2015-2018.