Organizers

Organizing Team

Core Coordinators

  • 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. Led HBN-EEG data curation and annotation.

Strategic Oversight

  • 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.
  • Arnaud Delorme - Leads the EEGLAB project. Research focuses on advanced EEG methodologies and AI integration.

Domain Experts

  • 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. Amit provides access to SDSC compute resources.
  • Marie-Constance Corsi - Research Scientist at Paris Brain Institute. Develops interpretable AI tools for neurological diseases.

Contact

For any questions about the competition, please contact us at: neurips2025-eeg-competition@googlegroups.com