Biography

In 2017, after completing a bioinformatics thesis project in the CompOmics group, I obtained my MSc degree in Biomedical Sciences at Ghent University. Since January 2018, I am continuing the work of my master thesis as an FWO-SB PhD fellow in CompOmics, under the supervision of prof. Sven Degroeve and prof. Lennart Martens.

My research mainly involves applying Machine Learning to proteomics data, with a focus on the identification of post-translationally modified peptides. I am also a member of the European Bioinformatics Community organizational committee and help developing community standards in computational mass spectrometry at HUPO-PSI.

Interests

  • Bioinformatics
  • Machine learning
  • Computational proteomics and mass spectrometry

Education

  • MSc Biomedical Sciences, 2017

    Ghent University

  • BSc Biomedical Sciences, 2015

    Ghent University

Recent publications

The Age of Data-Driven Proteomics: How Machine Learning Enables Novel Workflows

A lot of energy in the field of proteomics is dedicated to the application of challenging experimental workflows, which include …