Curriculum vitea
I am currently an assistant professor at the KERMIT (knowledge-based systems) and Biobix (bioinformatics) groups at Ghent University. Machine intelligence and living systems fascinate me. In my research, I develop intelligent techniques to understand, predict, and control biological systems, large and small. My main toolbox involves a mix of machine learning, optimization, bioinformatics, and graph theory. I use these methods to predict how plants, animals, microorganisms, and molecules interact with each other. Much of my work involves working together with others, translating biological problems as mathematical or computational ones. Every year, I try to engage students in projects and theses, doing cool things such as making a beer classifier or designing new proteins. During my years as a teaching assistant, I taught various courses on data analytics and computational intelligence, including statistics, probability theory, and machine learning. Now, I am the responsible teacher for the Differential Equations courses for bioscience engineers. Throughout all my activities, I value creativity and collaborating with people from different fields to develop highly innovative ideas.
Education and work experience
2020-present: doctoral assistant Ghent University
topic: computational intelligence for synthetic biology
2020-2021: 10% bioinformatics and machine learning consultant for BioLizard
2017-2020: FWO postdoc
topic: machine learning methods for understanding and predicting ecological networks
2012-2017: PhD in BioScience Engineering, Ghent University
topic: machine learning methods for pairwise learning
2010-2012: Master BioScience Engineering: Cell-and Gene Biotechnology
major: computational biology
2007-2010: Bachelor BioScience Engineering, Ghent University
2001-2007: Science-Mathematics, Sint-Pietercollege en Sint-Jozefshandelsschool, Blankenberge
Teaching experience
As a lecturer:
Experimental Design
As a former teaching assistant:
Statistical Data Analysis
Applied Statistics
Predictive Modelling
Computational Modelling
Selected Topics in Mathematical Optimization
Probabilistic Models
Quality Control and Risk Assessment
Publications
See Google Scholar.