Who are we?

Co-chairs

PSI-AI is led by a team of co-chairs who coordinate the working group’s strategy, prioritization, and delivery across the HUPO-PSI community. They ensure alignment with other PSI working groups and external stakeholders, and facilitate consensus on standards, guidelines, and resources that make proteomics data and workflows fit for modern AI/ML use.

Tine Claeys
VIB / Ghent University (BE)
Samuel Wein
University of Tübingen / OpenMS (DE)
Ralf Gabriels
VIB / Ghent University (BE)

Members

PSI-AI members form an international, cross-disciplinary community spanning proteomics standards development, computational proteomics, software engineering, repositories, benchmarking and reporting, curated dataset development, and ethics and privacy expertise to ensure interoperable, reproducible, compliant, and AI-ready proteomics.

Ahmad Lutfi
Technische Universität Berlin (DE)
Ben Neely
National Institute of Standards and Technology (US)
Charlotte Adams
University of Antwerp (BE)
Henry Webel
Technical University of Denmark (DK)
Ina Devos
University of Antwerp / VITO (BE)
Jonas Scheid
University Hospital Tübingen (DE)
Julian Uszkoreit
Ruhr University Bochum (DE)
Karin Schork
Ruhr University Bochum (DE)
Kevin Yang
University of Michigan (US)
Lisa Boatner
Chan Zuckerberg Initiative (US)
Magnus Palmblad
Leiden University Medical Center (NL)
Maike Weber
Ruhr University Bochum (DE)
Parag Mallick
Stanford University / Nautilus Biotechnology (US)
Patricia Cervera de la Cruz
PHG Foundation (UK) / Ghent University (BE)
Thomas Naake
National Metrology Institute (DE)

PSI-AI is strengthened by many additional contributors across the wider proteomics and data standards community whose insights and efforts support this work, even if they are not individually shown here.

Join PSI-AI

PSI-AI welcomes participation from the wider community, including researchers, tool developers, repository teams, standards contributors, and ethics and legal experts. To get involved, please contact us at .

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