Tapahtumakalenteri
HiLIFE / Biomedicum Helsinki seminar: Bertrand Thirion
Bertrand Thirion is researcher in the Mind 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.
Welcome to this exciting seminar!
Selected publications
[1] Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, and Gaël Varoquaux. Machine learning for neuroimaging with scikit-learn. Frontiers in neuroinformatics, 8:14, 2014.
[2] Joseph Benzakoun, Marc-Antoine Deslys, Laurence Legrand, Ghazi Hmeydia, Guillaume Turc, Wagih Ben Hassen, Sylvain Charron, Clément Debacker, Olivier Naggara, Jean-Claude Baron, et al. Synthetic flair as a substitute for flair sequence in acute ischemic stroke. Radiology, 303(1):153–159, 2022.
[3] Alexandre Blain, Bertrand Thirion, and Pierre Neuvial. Notip: Non-parametric true discovery proportion control for brain imaging. NeuroImage, 260:119492, 2022.
[4] Ahmad Chamma, Denis A Engemann, and Bertrand Thirion. Statistically valid variable importance assessment through conditional permutations. Advances in Neural Information Processing Systems, 36, 2024.
[5] Jérôme-Alexis Chevalier, Tuan-Binh Nguyen, Joseph Salmon, Gaël Varoquaux, and Bertrand Thirion. Decoding with confidence: Statistical control on decoder maps. NeuroImage, 234:117921, 2021.
iCAN science seminar by Dr. Marieke Kuijjer
Mini-bio: Marieke Kuijjer is Group Leader of the Computational Biology and Systems Medicine group at the Center for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, Norway, where she started in 2018. She received her PhD from Leiden University Medical Center (2013) and postdoctoral training at the Dana-Farber Cancer Institute and Harvard Chan School of Public Health. Marieke’s research interests include development of network-based methods to integrate and analyze cancer data.
Dr. Kuijjer will take up the position of the Cancer Data Science Associate Professor at iCAN – Digital Precision Cancer Medicine, University of Helsinki.
For more information on the speaker, please see her cv.
Come early for a cup of coffee!
Dissertation: Johanna Suur-Uski
Opponent: professor Päivi Korhonen, University of Turku