Developing a context-sensitive support tool prototype for interdisciplinary research using contemporary insights from computational linguistics and philosophy of science. Ghent University
The aim of my project is to develop a tool for supporting interdisciplinary research. The tool consists of two modules: a language module which enables the disambiguation of concepts which are central to the interdisciplinary research, and a methodology module which allows to explicate (potentially conflicting) assumptions on U+2018causationU+2019 and U+2018explanationU+2019 held by the interdisciplinary research team members.
Computational Neuroscience University of Antwerp
What happens in the brain when humans learn how to respond optimally to new sensory stimuli? To answer this question, we implement learning paradigms in humans and investigate how the responses of neurons in the brain change as a result of learning. In parallel, we implement deep convolutional networks to compare the effects in real brains with how an artificial neural network picks up the same tasks.
Representational changes underlying human learning: A computational cognitive neuroscience perspective KU Leuven
FWO travel grant for a short stay abroad in the United states of America (Houston): SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS19) Hasselt University
The aim of this project is the design and development of algorithms for modelling the regulatory cell cycle of plants, in particular Arabidopsis. This is a multidisciplinary project that combines advanced mathematical techniques from dynamical systems theory with computer science methods to study fundamental problems in molecular genetics.