I am a PhD student in computational neuroscience at Neurospin, CEA and Inria, Paris Saclay, working under the supervision of Bertrand Thirion and Stanislas Dehaene. My research focuses on anatomical and functional differences of the cortex across individuals. To this end, we developed a series of optimal transport solvers which we use to compare brains. Using fMRI, we apply these methods to build brain decoders which can be transferred across individuals.
Previously, I co-founded Arkhn, a company that builds open source software to standardize healthcare data. Besides, I was a member of the Bureau Ouvert, a non-profit organization that promotes open source and open data in the French Parliament.
Before that, I was a student at the École polytechnique and École Normale Supérieure de Paris Saclay, where I focused on applied mathematics and computer science.
Aligning brain functions boosts the decoding of visual semantics in novel subjects
Alexis Thual, Yohann Benchetrit, Felix Geilert, Jérémy Rapin, Iurii Makarov, Hubert Banville, Jean-Rémi King
arXiv 2023, https://arxiv.org/abs/2312.06467
Aligning Individual Brains with Fused Unbalanced Gromov Wasserstein
Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, and Bertrand Thirion
NeurIPS 2022, https://openreview.net/forum?id=vy7B8z0-4D
From Deep Brain Phenotyping to Functional Atlasing
Thirion Bertrand, Alexis Thual, and Ana Luísa Pinho
Current Opinion in Behavioral Sciences 40 (August 2021): 201–12, https://doi.org/10.1016/j.cobeha.2021.05.004
I develop and maintain brain-cockpit, a web application to explore large functional MRI datasets. In particular, it is useful to visualise anatomical and functional differences between individuals.
I develop and maintain fugw, a python library implementing optimal transport solvers for fused unbalanced gromov wasserstein problems, which we use to compare between brains.
I am a core developer of nilearn, a python library providing statistical tools to work with neuroimaging data.