Bioscience engineer
Keywords: mathematical modelling, process control, computational fluid dynamics, machine learning, optimisation, open-source, bioprocess technology, problem solving, programming, windsurfing, electronics tinkering
Dutch: native language
English: C2 (CEFR)
French: B1 (CEFR)
Computational
fluid dynamics
Mathematical modelling
Machine learning
Control theory
LaTeX
Working knowledge
Julia
Linux/Bash
OpenFOAM
MATLAB/Simulink
Python 2/3
Basic knowledge
HTML/CSS
C++
Exposure to
R
Javascript
C#
Dutch: native language
English: C2 (CEFR)
French: B1 (CEFR)
Mathematical modelling
Computational fluid
dynamics
Machine learning
Control theory
LaTeX
Working knowledge
Julia
Python 2/3
OpenFOAM (CFD)
MATLAB/Simulink
Basic knowledge
HTML/CSS
C++
Exposure to
Javascript
C#
R
M.Sc. summa cum laude
Bioscience engineering
Chemistry and bioprocess technology
B.Sc. cum laude
Bioscience engineering
Chemistry and food technology
GCSE in Math and Sciences
4.2/5 GPA
PhD candidate
The development of fouling resistant electrodialysis for the treatment of bio-based process streams
BIOMATH/VITO/PaInT
Keywords: electrochemical process modelling, computational fluid dynamics, Machine learning, OpenFOAM, Julia, Python, C++
The main goal of this research project is developing a mathematical model for a electrodialysis installation and optimise its performance. Different modelling paradigms are used an the novelty of this research is the combination of machine learning models and physics-based models. I'm currently writing the PhD dissertation so in the mean time please enjoy these presentations on the topic.
Two-phase computational fluid dynamics of a water tower to analyse the residence time of drinking water (PIDPA).
Large-eddy simulation to compute shear stresses in a tubular membrane filter with a ribbed interior (Pentair).
Research assistant
Mathematical modelling of filtercake formation
and fungal growth
BIOMATH/KERMIT
Keywords: model validation and calibration, actuators, hydraulics, electronics, LabVIEW, data-acquisition
During this research project, a microfiltration installation was developed for the calibration and validation of a spatio-temporal model of filtercake formation (MSc thesis). A data-acquisition and process control system was developed and the respective actuators and sensors were installed. Computational fluid dynamics (CFD) simulations of the system were validated by means of several tracer tests and the agent-based model of the dispersed particles can be validated through profilometric measurements of the formed filtercake.
Video: an example of the performed tracer tests, validating the laminar flow within the system.
Research internship
Computer vision techniques for polymer
recognition on atomic-force microscopy images
Keywords: Texture analysis, machine learning, Gabor filters, Fourier analysis, visual descriptors, atomic-force microscopy
Applied computer vision research, an assessment of the applicability of several filters and visual descriptors for the classification of atomic-force microscopy images of polymers.
A Poly(p-phenylene vinylene) solution was spincoated on glass plates. These plates were exposed to different surface treatments, e.g. UV radiation, high temperatures, solvent treatments, etc. Atomic-force microscopy images of the polymer surfaces were obtained and and a dataset of visual descriptors was constructed by means of local binary patterns, gray-level co-occurence matrices, Gabor filters and Fourier analysis. Supervised learning algorithms were used to construct a mathematical model able to predict the surface treatment based on these visual descriptors.
Left to right: atomic-force microscopy images of the polymers exposed to a strong base, UV radiation and untreated.
Master thesis
Spatio-temporal modelling of filtercake formation in filtration processes
Bachelor thesis
Innovative applications of artificial intelligence in the food industry
Leader youth movement
102e FOS De Albatros
Open Webslides
Open-source platform for interactive presentation slides
UGent innoversity challenge winning project
Open Webslides are a platform to create course material that promotes co-creation and makes full use of modern web technologies to promote an (inter)active and accessible learning environment. At the core of the Open Webslides project is the new format of course slides. These webslides differ from current slide solutions in a variety of ways.
Webslides, as the name suggests, are slides made with web technology, namely HTML, CSS and Javascript. Essentially, this means that every slide in itself is a website and as such, is able to do everything a website can. You can seamlessly embed YouTube videos, flipped classroom tools, dynamic graphics, etc. The possibilities are virtually endless.
The fact that every slide is a website in itself, allows you to link to specific slides from other online platforms. This allows you to make your course material more accessible and visibible.
Dewpal: biocatalysed atmospheric condensation
iGEM: International Genetically Engineered Machine Competition
Keywords: 3D CAD, microprocessors, Python, biotechnology
The aim of our project is to design an optimized 3D shape for condensing water, using a fusion protein of INP and streptavidin to increase our water collection.
The shape is designed to be modular (so it can be scaled up easily) and stackable (so many units can be transported and stored easily and cheaply), and is 3D-printed in a PLA-filament containing biotin. To increase the condensation capabilities of our water collector, we attach a fusion protein of INP (Ice Nucleation Protein) with streptavidin to the biotin. INP is a protein of certain bacteria that improves the nucleation of ice at higher temperatures than normal. As condensation also involves nucleation, INP can be used to increase condensation, and hence water collection.
And various others...