Biography

I completed my PhD in Life Sciences at Ghent University in May 2022 under the supervision of Prof. Sven Degroeve and Prof. Lennart Martens, and commenced my FWO Junior Postdoctoral Fellowship in October 2022. My work applies machine learning to proteomics, particularly peptide fragmentation, to enhance identification sensitivity and specificity.

From October 2025, as an FWO Senior Postdoctoral Fellow, I will develop graph neural network and large‐language‐model frameworks for the prediction and interpretation of post‐translational modifications, integrating these advances with investigations of ageing‐related proteome changes.

An active proponent of open science, I serve as elected representative of the European Bioinformatics Community for Mass Spectrometry (EuBIC‐MS), co-organize EuBIC‐MS conferences and contribute to EuBIC-MS projects such as Rusteomics. I co‐chair the newly formed HUPO‐PSI AI Readiness working group, contribute to HUPO‐PSI data standards (mzSpecLib, ProForma 2.0, Universal Spectrum Identifier), co‐lead ProteomicsML—an educational platform for machine learning in proteomics—and regularly co‐host workshops, Bioinformatics Hub sessions, and deliver educational lectures.

Checkout my recent publications and GitHub projects.

Interests
  • Bioinformatics
  • Machine learning & deep learning
  • Computational proteomics
  • Mass spectrometry
Education
  • Doctor in Life Sciences, 2022

    Ghent University

  • MSc Biomedical Sciences, 2017

    Ghent University

  • BSc Biomedical Sciences, 2015

    Ghent University