Organizers

Bruno Aristimunha

Research Engineer at INRIA TAU and PhD student at University of Paris-Saclay. Lead Maintainer of Braindecode library and Core Developer for MOABB benchmarking framework.

Dung Truong

Research Engineer at Swartz Center for Computational Neuroscience, UCSD. Specializes in EEG data standardization and deep learning algorithms.

Pierre Guetschel

PhD candidate at Donders Institute. Research focuses on deep learning for EEG decoding, transfer learning, and foundation models.

Seyed Yahya Shirazi

Assistant Project Scientist at UC San Diego. Lead of the HBN-EEG data curation and annotation.

Arnaud Delorme

Lead of the EEGLAB project, Research director at CNRS, IONS, Research Scientist at UCSD

Isabelle Guyon

Director, Research Scientist at Google DeepMind and professor at Université Paris-Saclay. Expert in data-centric AI and machine learning challenges.

Sylvain Chevallier

Full professor at University Paris-Saclay and co-leader of TAU team. Works on frugal learning and transfer learning for time series analysis.

Alexandre R. Franco

Director of Data Informatics and Sharing of Knowledge Core at Child Mind Institute. Leads efforts for International Neuroimaging Data-sharing Initiative.

Michael P. Milham

Director for Center of Biomedical Imaging and Neuromodulation at Nathan S. Kline Institute. Expert in neuroimaging research.

Alexandre Gramfort

Senior Research Scientist at Meta Reality Labs. Expert in machine learning for biosignal processing.

Jean-Remi King

Research Scientist at Meta AI, leading the Brain & AI team. Specializes in brain decoding.

Scott Makeig

Pioneer in EEG analysis and development of Independent Component Analysis (ICA) for brain signal decomposition.

Alan Evans

Distinguished James McGill Professor at McGill University. Director of EEGNet consortium and expert in structural brain network modeling.

Pedro Antonio Valdés-Sosa

Pioneer in EEG source localization and brain connectivity analysis. Co-director of Global Brain Consortium.

Terrence J Sejnowski

Co-developer of Boltzmann machine and foundational work in deep learning. Bridges neuroscience and machine learning.

Oren Shriki

Head of Computational Psychiatry and Neurotechnology Lab at Ben-Gurion University.

Aviv Dotan

Postdoctoral researcher specializing in machine learning and deep learning applications to EEG data.

Amit Majumdar

Director of SDSC's Data Enabled Scientific Computing division and Neuroscience Gateway. Provides access to SDSC compute resources.

Marie-Constance Corsi

Research Scientist at Paris Brain Institute. Develops interpretable AI tools for neurological diseases.