Projects
beurs EVDS Arne Peirsman: Design of a 3D printed and perfused breast cancer metastasis model (3D PAP Be CAME model) Ghent University
The research project focusses on designing a model that mimics breast cancer metastasis. Today, 90% of breast cancer (BC) death is cased be metastasis. This is largely because we are still unable to understand the mechanisms of metastatic progression. Consequently, we are unable to drug and treat to cure metastatic disease. Better models of cancer metastasis will lead to more fundamental insights. Drug evaluation using this model will enable ...
Data-driven model inclusion in physics based mechanical models. KU Leuven
Clinical risk prediction models based on multicenter data: methods for model development and validation KU Leuven
Risk prediction models are developed to assist doctors in diagnosing patients, decision-making, counseling patients or providing a prognosis. To enhance the generalizability of risk models, researchers increasingly collect patient data in different settings and join forces in multicenter collaborations. The resulting datasets are clustered: patients from one center may have more similarities than patients from different centers, for example, ...
Advertisements showing non-ideal models and young women's and men's body image: development of a tripartite process model. KU Leuven
Beauty and fashion companies have been criticized for the persistent usage of extremely thin and muscular models in their advertisements (ads). Current literature has consistently shown that such idealized representations have detrimental effects on individual’s body image and general well-being. Society has therefore called for using more socially responsible advertising. Hence, advertisers have started to include “non-idealized models”, ...
Development of model order reduction techniques for mechatronic system models in inverse problems. KU Leuven
Mechatronic models are developed in the design stage to describe and further improve the performance of systems. These models tend to cause difficulties with respect to numerical modelling and simulation due to (1) a large number of degrees of freedom (DOFs), (2) strongly coupled non-linear equations, (3) a wide frequency difference between the dominant behaviour of the different physical domains and (4) strongly non-linear parametric ...
Merging satellite-derived and ground-based observations of spring phenology to select the best fitting and most parsimonious vegetation phenology model for global carbon cycle models. University of Antwerp
Robust and sparse methods to model mean and dispersion behavior in Generalized Linear Models. University of Antwerp
Model estimation and selection for multiresolution graphical models. KU Leuven
The main goal of the project is to develop and validate methods to estimate networks at different levels or resolutions. One of the aims is to determine which level is most appropriate to estimate and interpret such network models and this will help researchers in the field to better understand the properties and the characteristics of the appropriate models that should be used to analyze the available data. The techniques I propose are ...