Projects
Computational analysis of large-scale biological data Ghent University
The purpose of this project is to design efficient computational algorithms for the analysis of large-scale biological data, and to develop software applications to make these algorithms easily available for domain experts (applied scientists) without a computational background. We will focus on a few applications in particular: (a) the use of long-read sequencing data, as generated by the MinION sequencer, for the improvement of metagenomic ...
The IncuCyte S3/Organoid platform for live cell culture imaging and kinetic multiparameter analysis of state-of-the-art 3D organoid models and complex tissue mimics KU Leuven
Advanced Computational Methods for Real-time Analysis of Time Dependent Nanomaterials. University of Antwerp
INFERENCE. Scalable screening platform for predicting the mode-of-action of gene perturbations based on Integrated Functional Enrichment analysis of gene expREssion aNd CEll phenotypic readouts. University of Antwerp
Directional and Fluctuating decomposition and analysis of 3D Facial Discorantie: insights into disordered growth. KU Leuven
AQ²UABIT – Advanced Qualitative and QUantitative surface Analysis of BITuminous binders using laser scanning confocal microscopy. University of Antwerp
Computational Time Series Analysis for Cardiovascular Health and Cardiopulmonary Fitness Profiling KU Leuven
To date, there is an unmet need for accurate computational models that can identify and manage individuals at high risk of developing adverse Cardiovascular (CV) events. The purpose of this doctoral project, is the utilization of machine and deep learning algorithms to create a computational pipeline to construct a profile of patients related to their CV health and fitness and predict their response to potential exercise treatment programmes. ...
Multi-scale analysis of textile and derived materials Ghent University
Every textile material, be it for low-end consumer goods or high-end technical products, is exploited for the properties resulting from its multi-scale nature (fibres -> yarns -> textiles -> derivatives). Understanding this multi-scale nature is thus key to improving this materials. Textiles are, for example, well suited for technical applications thanks to their unique combination of lightness, flexibility and strength. Yet such ...
Improving multiplex digital PCR based nucleic acid quantification using data driven analysis tools Ghent University
Digital PCR allows higher order multiplexing compared to real time PCR, enabling simultaneous quantification of multiple targets for single cell research and for diagnosis of cancer mutations or infectious agents. These applications require an appropriate data analysis pipeline. We will tackle this unexplored field by designing 16-plex reactions for single cell analysis of macrophages and mutation detection in cancer.