I’ve got seven years of experience with machine learning, statistical modelling, and signal processing in research. I’ve also worked on full-stack production software: development on a work-order app for technicians, used by 400+ Dutch companies, and a user analytics data pipeline for DataCamp’s learning platform.
I’ve been programming since I was ten. These days I mostly direct AI agents, both for coding and research. They bring iteration velocity, while I bring an eye for detail, a drive for clarity, and a need to understand how things really work.
More in my CV.
Research
For my PhD in computational neuroscience (University of Nottingham, 2020–2024), I developed methods to infer the wiring between neurons from their voltage recordings: From Voltage to Wiring (PDF). After that, I did a postdoc in neuroinformatics at Ghent University (2024), within the European EBRAINS project. More on my research page.
Older posts and projects are under more.
Education
- BSc engineering, computer science & electrical engineering — KU Leuven.
- MSc biomedical engineering (burgerlijk ingenieur), specialization signal processing — KU Leuven. I did my master’s thesis in a systems neuroscience lab, and filled the programme with electives in data analysis, neuroscience, and machine learning.
- PhD, computational neuroscience — University of Nottingham. Thesis: From Voltage to Wiring: Synaptic connectivity inference from neural voltage recordings (PDF).
Outside of software
I do live sound engineering and I’m a recording and mixing engineer for folk musicians.
I like to sing, and I play violin and viola for dancers in different constellations. More on the sound page.
Contact
Elsewhere on the web:
LinkedIn • GitHub • StackExchange • Twitter