My passion is the automated generation of
personalized health advice,
using machine learning and
time series analysis.
In my Ph.D. dissertation named
The non-existent average individual, I explored various techniques for the
generation of personalized advice with the goal of reducing psychopathology and improving well-being,
by combining data science and ideographic psychopathology research.
Operating on the intersection of computer and social sciences.
Employed at the Developmental Psychology group at
the University of Groningen, led by Peter de Jonge.
Current and previous projects
u-can-act is a research platform that aims to provide a platform to unravel the variables underpinning early school drop out
The Dutch are famous for their ice skating performance. In this project we aim to improve this performance one step further by predicting lap times.
Performing personalized coaching based on machine learning based estimators.
A specific branch of machine learning that has been shown to work especially well is ensemble learning. One specific sort of ensemble learner is the Online SuperLearner.