About
Who I Am
I am an assistant professor at Ghent University, part of the Faculty of Bioscience Engineering. Together with Bernard De Baets, I co-lead the KERMIT research unit, where I am responsible for the computational modelling research line.
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, mathematical optimization, bioinformatics, and evolutionary computing. I use these methods to predict how plants, animals, microorganisms, and molecules interact with each other.
Much of my work involves collaborating with people from different fields, translating biological problems into 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.
Throughout all my activities, I value creativity and interdisciplinary collaboration to develop innovative ideas. I am also an avid reader and occasionally blog about books I find particularly interesting.
Education & Career
2024 – present
Assistant Professor — Ghent University
Applied dynamical systems, computational modelling for biological systems
2020 – 2024
Doctoral Assistant — Ghent University
Computational intelligence for synthetic biology
2020 – 2021
Bioinformatics Consultant (10%) — BioLizard
Machine learning consulting for biotech
2017 – 2020
FWO Postdoctoral Researcher — Ghent University
Machine learning methods for ecological networks
2012 – 2017
PhD in BioScience Engineering — Ghent University
Machine learning methods for pairwise learning
2010 – 2012
MSc BioScience Engineering: Cell & Gene Biotechnology — Ghent University
Major: Computational biology
2007 – 2010
BSc BioScience Engineering — Ghent University
Teaching
See the Teaching page for my current courses and materials.
Publications
See my full publication list on Google Scholar (~88 publications, ~2,800 citations).
For key publications, see the Research page.