Projects
Organoid painting: Unbiased cellular phenotyping of human tissue mimics using deep learning-enhanced imaging and analysis. University of Antwerp
Comprehensive phenotyping of neuro-organoids by deep learning. University of Antwerp
Deep phenotyping of cellular heterogeneity and maturation in human iPSC-derived brain organoids and cardiomyocytes. University of Antwerp
Deep single-cell phenotyping to identify governing principles and mechanisms of the subcellular organization of bacterial replication KU Leuven
Modern metagenomics has opened our eyes to the immense bacterial diversity that exists both among and within us. Despite this diversity, all bacteria share the basic challenge of organizing the various processes that ensure their faithful replication. All bacterial cells need to metabolize nutrients, generate building blocks, maintain their shape and size, replicate and segregate their chromosomes, synthesize cell walls and membranes, and ...
Data-driven image-based phenotyping and inferencing. KU Leuven
In the next five to twenty years, whole genome sequencing will become the standard of care in clinics. In parallel, imaging systems are improving in resolution and modalities for deep and longitudinal phenotyping. This presents new methodological challenges in image analysis, with uncharted high impact applications in personalized, preventive and precision medicine and cross-modal inferencing. My research program aims to substantially advance ...
MOLECULAR DIAGNOSTICS IN AUTISM SPECTRUM DISORDER: NEXT GENERATION SEQUENCING AND FACIAL PHENOTYPING IN MEDICAL GENETICS KU Leuven
Despite considerable progress in the genetics of autism spectrum disorder (ASD) in the past decade, molecular diagnostics for patients with ASD remains a great challenge due to the complex genetic architecture of ASD. In clinical genetics, an etiological distinction is usually made between ASD patients with Mendelian causes (i.e. driven by a highly penetrant rare variant) and patients with multifactorial causes (i.e. driven by many genetic ...
Towards an end-to-end solution for unbiased cellular phenotyping of intact cerebral organoids. University of Antwerp
Part-Based Syndrome Classification and Metric Spaces: Linear 3D Facial Analysis vs Geometric Deep Learning KU Leuven
The science of phenotyping is empowering our understanding of health, particularly in clinical genetics, where it is used to strengthen genetic testing interpretation and disease research. In next-generation phenotyping (NGP), advanced computational techniques are used to integrate phenotypic data into human health analysis, such as capturing, structuring, and interpreting complex clinical data. In this context, accurate characterization of ...