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ArthurDeclercq merged 1 commit into from
Jul 8, 2026
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Update bio Ralf #14

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6 changes: 3 additions & 3 deletions team/index.qmd
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Expand Up @@ -292,9 +292,9 @@ toc: false
title: 'Ralf Gabriels',
role: 'Postdoctoral Researcher',
email: 'ralf.gabriels@ugent.be',
about: 'Ralf obtained his Master\'s degree in Biomedical Sciences at Ghent University in 2017. In January 2018 he started his PhD under the supervision of Prof. Sven Degroeve and Prof. Lennart Martens, graduating as Doctor in Life Sciences in 2022.',
currentWork: 'He is now a postdoctoral researcher, focusing on machine learning methods in mass spectrometry-based proteomics, with an emphasis on peptide fragmentation prediction, identification rescoring, and post-translational modification analysis. He is the main developer of MS²PIP and contributed to MS²Rescore and psm_utils. Ralf is also very active in community initiatives.',
recognition: 'He is an elected representative of the European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) and contributes to the HUPO Proteomics Standards Initiative (HUPO-PSI), where he recently became co-chair of the AI Readiness working group.',
about: 'Ralf is an FWO Senior Postdoctoral Research Fellow working at the intersection of proteomics, bioinformatics, and machine learning. He holds a PhD in Life Sciences from Ghent University (2022), where he developed machine learning methods for peptide identification and fragmentation prediction in mass spectrometry-based proteomics. He is the developer of several widely used open-source tools, including MS²PIP, MS²Rescore, and psm_utils, and is an active contributor to open science and community data standards in the field.',
currentWork: 'His research focuses on mapping post-translational modifications (PTMs) across the proteome using deep learning, with applications to molecular aging. He is developing graph neural network-based approaches for PTM-resolved fragmentation prediction, building on his continued development of MS²PIP and MS²Rescore. Beyond his own research, Ralf contributes to the broader computational proteomics community as co-founder and co-chair of the HUPO-PSI AI-Readiness Working Group, ontology curator for PSI-MOD, an active member of EuBIC-MS, and co-founder of ProteomicsML, an open educational platform for machine learning in proteomics.',
recognition: 'Ralf received the Bioinformatics for Mass Spectrometry Award from the European Proteomics Association (2021) and the Best Doctoral Thesis Award in Basic Sciences from the Ghent University Faculty of Medicine and Health Sciences (2023). His open-source tools have been integrated into commercial platforms by Bruker and Mascot, and his work is supported by consecutive personal FWO fellowships at the PhD, junior postdoctoral, and senior postdoctoral levels.',
publications: [
{ title: 'Updated MS²PIP web server supports cutting-edge proteomics applications', url: 'https://doi.org/10.1093/nar/gkad335', venue: 'Nucleic Acids Research · 2023' },
{ title: 'MS²Rescore 3.0 Is a Modular, Flexible, and User-Friendly Platform to Boost Peptide Identifications, as Showcased with MS Amanda 3.0', url: 'https://doi.org/10.1021/acs.jproteome.3c00785', venue: 'Journal of Proteome Research · 2024' },
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