Bertrand Thirion is the leader of the Parietal team, part of Inria research institute, Saclay, France, that develops statistics and machine learning techniques for brain imaging. He contributes both algorithms and software, with a special focus on functional neuroimaging applications. He is involved in the Neurospin, CEA neuroimaging center, one of the leading high-field MRI for brain imaging places. From 2018 to 2021, Bertrand Thirion has been the head of the DATAIA Institute that federates research on AI, data science and their societal impact in Paris-Saclay University. In 2020, he has recently been appointed as member of the expert committee in charge of advising the government during the Covid-19 pandemic. In 2021, he has become the Head of science (délégué scientifique) of the Inria Saclay-Île-de-France research center. Bertrand Thirion is PI of the Karaib AI Chair of the Individual Brain CHarting project.
Recent Publications
@unpublished{dadi:hal-02929857, author = {Dadi, K., Varoquaux, G., Houenou, J., Bzdok, D., Thirion, B. and Engemann, D.}, doi = {10.1101/2020.08.25.266536}, hal_id = {hal-02929857}, hal_version = {v1}, month = {September}, note = {working paper or preprint}, title = {{Beyond brain age: Empirically-derived proxy measures of mental health}}, url = {https://hal.inria.fr/hal-02929857}, year = {2020} }
@article{dadi:hal-02904869, author = {Dadi, K., Varoquaux, G., Machlouzarides-Shalit, A., Gorgolewski, K., Wassermann, D., Thirion, B. and Mensch, A.}, hal_id = {hal-02904869}, hal_version = {v1}, journal = {{NeuroImage}}, keywords = {Brain imaging atlases ; Functional networks ; Functional parcellations ; Multi-resolution}, month = {July}, number = {221}, pages = {117126}, pdf = {https://hal.inria.fr/hal-02904869/file/revised3.pdf}, publisher = {{Elsevier}}, title = {{Fine-grain atlases of functional modes for fMRI analysis}}, url = {https://hal.inria.fr/hal-02904869}, year = {2020} }
@inproceedings{nguyen:hal-02888693, address = {Vienne, Austria}, author = {Nguyen, T., Chevalier, J., Thirion, B. and Arlot, S.}, booktitle = {{37th International Conference on Machine Learning, PMLR 119, 2020}}, hal_id = {hal-02888693}, hal_version = {v1}, month = {July}, pdf = {https://hal.archives-ouvertes.fr/hal-02888693/file/ako.pdf}, title = {{Aggregation of Multiple Knockoffs}}, url = {https://hal.archives-ouvertes.fr/hal-02888693}, year = {2020} }
@article{botviniknezer:inserm-02914443, author = {Botvinik-Nezer, R., Holzmeister, F., Camerer, C., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Iwanir, R., Mumford, J., Adcock, R., Avesani, P., Baczkowski, B., Bajracharya, A., Bakst, L., Ball, S., Barilari, M., Bault, N., Beaton, D., Beitner, J., Benoit, R., Berkers, R., Bhanji, J., Biswal, B., Bobadilla-Suarez, S., Bortolini, T., Bottenhorn, K., Bowring, A., Braem, S., Brooks, H., Brudner, E., Calderon, C., Camilleri, J., Castrellon, J., Cecchetti, L., Cieslik, E., Cole, Z., Collignon, O., Cox, R., Cunningham, W., Czoschke, S., Dadi, K., Davis, C., Luca, A., Delgado, M., Demetriou, L., Dennison, J., Di, X., Dickie, E., Dobryakova, E., Donnat, C., Dukart, J., Duncan, N., Durnez, J., Eed, A., Eickhoff, S., Erhart, A., Fontanesi, L., Fricke, G., Fu, S., Galv{\'a}n, A., Gau, R., Genon, S., Glatard, T., Glerean, E., Goeman, J., Golowin, S., Gonz{\'a}lez-Garc{\'i}a, C., Gorgolewski, K., Grady, C., Green, M., Guassi Moreira, J., Guest, O., Hakimi, S., Hamilton, J., Hancock, R., Handjaras, G., Harry, B., Hawco, C., Herholz, P., Herman, G., Heunis, S., Hoffstaedter, F., Hogeveen, J., Holmes, S., Hu, C., Huettel, S., Hughes, M., Iacovella, V., Iordan, A., Isager, P., Isik, A., Jahn, A., Johnson, M., Johnstone, T., Joseph, M., Juliano, A., Kable, J., Kassinopoulos, M., Koba, C., Kong, X., Koscik, T., Kucukboyaci, N., Kuhl, B., Kupek, S., Laird, A., Lamm, C., Langner, R., Lauharatanahirun, N., Lee, H., Lee, S., Leemans, A., Leo, A., Lesage, E., Li, F., Li, M., Lim, P., Lintz, E., Liphardt, S., Losecaat Vermeer, A., Love, B., Mack, M., Malpica, N., Marins, T., Maumet, C., McDonald, K., McGuire, J., Melero, H., M{\'e}ndez Leal, A., Meyer, B., Meyer, K., Mihai, G., Mitsis, G., Moll, J., Nielson, D., Nilsonne, G., Notter, M., Olivetti, E., Onicas, A., Papale, P., Patil, K., Peelle, J., P{\'e}rez, A., Pischedda, D., Poline, J., Prystauka, Y., Ray, S., Reuter-Lorenz, P., Reynolds, R., Ricciardi, E., Rieck, J., Rodriguez-Thompson, A., Romyn, A., Salo, T., Samanez-Larkin, G., Sanz-Morales, E., Schlichting, M., Schultz, D., Shen, Q., Sheridan, M., Silvers, J., Skagerlund, K., Smith, A., Smith, D., Sokol-Hessner, P., Steinkamp, S., Tashjian, S., Thirion, B., Thorp, J., Tingh{\"o}g, G., Tisdall, L., Tompson, S., Toro-Serey, C., Torre Tresols, J., Tozzi, L., Truong, V., Turella, L., van ‘t Veer, A., Verguts, T., Vettel, J., Vijayarajah, S., Vo, K., Wall, M., Weeda, W., Weis, S., White, D., Wisniewski, D., Xifra-Porxas, A., Yearling, E., Yoon, S., Yuan, R., Yuen, K., Zhang, L., Zhang, X., Zosky, J., Nichols, T., Poldrack, R. and Schonberg, T.}, doi = {10.1038/s41586-020-2314-9}, hal_id = {inserm-02914443}, hal_version = {v1}, journal = {{Nature}}, month = {June}, number = {7810}, pages = {84-88}, title = {{Variability in the analysis of a single neuroimaging dataset by many teams}}, url = {https://www.hal.inserm.fr/inserm-02914443}, volume = {582}, year = {2020} }
@article{dockes:hal-02485642, author = {Dock{\`e}s, J., Poldrack, R., Primet, R., G{\"o}z{\"u}kan, H., Yarkoni, T., Suchanek, F., Thirion, B. and Varoquaux, G.}, hal_id = {hal-02485642}, hal_version = {v2}, journal = {{eLife}}, month = {March}, pdf = {https://hal.archives-ouvertes.fr/hal-02485642/file/main.pdf}, publisher = {{eLife Sciences Publication}}, title = {{NeuroQuery, comprehensive meta-analysis of human brain mapping}}, url = {https://hal.archives-ouvertes.fr/hal-02485642}, year = {2020} }
@unpublished{dadi:hal-02496156, author = {Dadi, K., Varoquaux, G., Machlouzarides-Shalit, A., Gorgolewski, K., Wassermann, D., Thirion, B. and Mensch, A.}, hal_id = {hal-02496156}, hal_version = {v1}, keywords = {Functional parcellations ; Brain imaging atlases ; Multi-resolution ; Functional networks}, month = {March}, note = {working paper or preprint}, pdf = {https://hal.archives-ouvertes.fr/hal-02496156/file/paper.pdf}, title = {{Fine-grain atlases of functional modes for fMRI analysis}}, url = {https://hal.archives-ouvertes.fr/hal-02496156}, year = {2020} }
@article{huchuanxia:hal-02523974, author = {Huchuan Xia, C., Ma, Z., Cui, Z., Bzdok, D., Thirion, B., Bassett, D., Satterthwaite, T., Shinohara, R. and Witten, D.}, doi = {10.1002/hbm.24982}, hal_id = {hal-02523974}, hal_version = {v1}, journal = {{Human Brain Mapping}}, keywords = {Network neuroscience ; Functional connectivity ; Multivariate analysis}, pdf = {https://hal.archives-ouvertes.fr/hal-02523974/file/Cedric_Witten_2020_HBM_multiscale.pdf}, publisher = {{Wiley}}, title = {{Multi-Scale Network Regression for Brain-Phenotype Associations}}, url = {https://hal.archives-ouvertes.fr/hal-02523974}, year = {2020} }
Short Bio
Contact
Email: bertrand.thirion@inria.fr
Address: Inria Saclay Île-de-France, Bâtiment Alan Turing, 1 rue Honoré d'Estienne d'Orves, Campus de l'École Polytechnique 91120 Palaiseau
Software
- Nilearn - A package for statistical analysis and machine learning on functional Magnetic resonance Imaging (fMRI) data
- Scikit-Learn - Machine learning in Python
More on my Github Page
Team
Engineers
Post-docs
- Judith Abecassis
- Jerome-Alexis Chevalier (coadvised with Joseph Salmon)
PhD Students
- Tuan Binh Nguyen (coadvised with Sylvain Arlot)
- Thomas Bazeille
- Hugo Richard (coadvised with Aapo Hyv\¨arinen)
- Alexandre Pasquiou coadvised with Christophe Pallier
- Jospeh Benzakoun (coadvised with Catherine Oppenheim)
- Ahmad Chamma co-advised with Denis Engemann
- Raphael Meudec
- Alexis Thual co advised with Stanislas Dehaene
Alumni
- [Ana Luisa Grilo Pinho]
- [Kamalaker Dadi]
- [Juan Jesus Tresols]
- [Lucas Martin]
- [Jérôme Dockès]
- [Elvis Dohmatob]
Positions
- PhD/Post-doc positions on machine learning and statistics with applications in neuroimaging (functional Magnetic Resonance Imaging).
This list is fuzzy so please contact me directly for potential opportunities.
Teaching
- Functional brain imaging course in Master MVA Ecole Normale Supérieure de Paris Saclay: Covers the machine learning and statistical aspects of modern brain imaging, with an emphasis on cognitive analysis and population studies.