Team

I am a member of the Empenn team, a research group of circa 30 members in methodological and applied neuroimaging science. Within the team, I currently supervise:

PhD candidates

Elodie Germani, co-advised with Elisa Fromont, since December 2021. Modelling and understanding analytical variability in task-fMRI (ARED MAPIS and ANR-20-THIA-0018).

Post-docs

Jérémy Lefort-Besnard, since January 2023. Practical multiverse approaches in task-fMRI (Inria Exploratory action GRASP).

Research engineers

Alexandre Pron, co-advised with Michael Kain, since January 2024. Shanoir and Open science (FLI-IAM).

Boris Clenet, since November 2022. NARPS Open pipelines: an open codebase to study analytical variability (Inria Exploratory action GRASP).

Pre-docs

Melvin Selim Atay, co-advised with Elise Bannier, since April 2024. Sharing FAIR protocols and workflows to better understand analytical variability in neuroimaging (PEPR ShareFAIR).

Students

Emma Redor, co-advised with Fanny Degeilh, since October 2023. M1 internship (part-time 7 months) Analytical variability and Combat harmonization.

Alumni

I previously worked with: (this list was only started in 2023 and is therefore incomplete)

PhD candidates

Xavier Rolland, co-advised with Christian Barillot and Pierre Maurel, October 2018 - May 2022. Impact of analytical variability on data compatibility in functional Magnetic Resonance Imaging studies.

PhD candidates I co-advised on projects that were part of their thesis:

Gregory Kiar (McGill Uni., Canada, advised by Dr. Tristan Glatard and Prof. Alan Evans). Analytical stability.
Freya Acar (Uni. of Ghent, Belgium, advised by Dr. Beatrijs Moerkerke). Neuroimaging meta-analyses. Alexander Bowring (University of Oxford, UK), co-advised with by Prof. Thomas Nichols). Software variability.
Ruth Pauli (Uni. of Birmingham, UK), co-advised with Thomas Nichols in her pre-lab year. Software variability.

Post-Docs

Aya Kababra (Lebanese University), co-advised with Mahmoud Hassan. Impact of analytical variability in EEG.
Alexander Bowring (Oxford Uni.), co-advised with Tom Nichols. Impact of analytical variability in fMRI.
Sofia Strubbia (Uni. of Nantes), co-advised with Alban Gaignard. Modal.

Research engineers

Hermann Courteille, Thomas Betton and Cyril Regan, December 2022 - April 2023 (part-time 50%).. BIDS-Prov: standardizing provenance in neuroimaging.

Rémi Adon, December 2019 - July 2021 (part-time 50%). BIDS-Prov: standardizing provenance in neuroimaging.

Aurélien Cornet (co-advised with Olivier Dameron, Alban Gaignard and Anne Siegel)