Projects
Computational mass spectrometry and artificial intelligence to unravel the immunopeptidome. University of Antwerp
Clinical applications of computational cytometry Ghent University
Flow cytometry is an essential technique in the fields of immunology and oncology, allowing insights at the individual cell level at relatively low cost, complementary to genetics and other clinical parameters. Due to recent technological advancements, this field is moving towards more automated analysis approaches. In this research proposal, I will work on two methods to aid researchers using flow cytometry. First, I will develop an ...
Establishing a computational classification framework for tumour-specific T-cells. University of Antwerp
Unravelling cellular heterogeneity and dynamics in normal and malignant hematopoiesis using singlecell bioinformatics Ghent University
In this multi-disciplinary project, we will pioneer the development and application of single-cell genomics to study the heterogeneity and dynamics of the immune system.
Our consortium will pioneer the role of single-cell genomics at Ghent University, developing novel bioinformatics approaches to study cell differentiation and dynamics, and combining them with both fundamental research in immunology as well as clinical applications.
Identification of the HLA-dependent susceptibility to Herpes Zoster in the Belgian population. University of Antwerp
Understanding the immunological basis of persistent airway obstruction in asthma Ghent University
In severe asthma, there is persistent obstruction of the airways with mucus plugs containing mucins, fibrin, and Charcot-Leyden crystals. We hypothesize that plugged airways constitute a unique niche where type 2 immune cells thrive and communicate with structural cells to perpetuate disease. We will
study if eliminating plugs or key niche communication signals can treat persistent disease in mouse and man.
Automated harmonisation strategies for real-world multiple sclerosis data sources Hasselt University
CONDITIONAL: COvid-19: iNterplay between genetic preDisposITION and immunologicAl Landscape Ghent University
This prospective, multidisciplinary and multicentric study aims to gain insights into genetic defects, immunological pathways, and expression shifts that may render some individuals more prone to severe COVID-19. Integrated multi-omics analysis will be used to identify critical host genes and
pathways involved in the infectious process and pathophysiological mechanisms in previously healthy young individuals with severe COVID-19.