PhD students
In his PhD project, Wouter van Loon develops multi-view stacking (MVS), a flexible framework for prediction with data from multiple sources (e.g., neuro-imaging, genetic and self-report data). I jointly supervise his project with Prof. Mark de Rooij and Dr. Botond Szabo (Bocconi University).
In his PhD project, Zino Brystowski works on testing and integrating theories from different domains with multi-view stacking (MVS). His project is part of the Gravitation program GUTS, and I jointly supervise his project with Prof. Mark de Rooij.
In his PhD project, Giorgio Spadaccini is working on interpretable machine learning and inference using prediction rule ensembling, Shapley values and Bayesian regression. I jointly supervise his PhD project with Prof. Mark van de Wiel (Department of Epidemiology and Data Science, Amsterdam University Medical Center).
Agostino Gnasso is a PhD student at the Department of Economics and Statistics, University of Naples, Federico II. We are developing interpretation methods for black-box machine-learning methods such as random forests and gradient boosting. In 2023-2024, Agostino is a visiting researcher at my group in Leiden. Agostino's PhD project is supervised by Prof. Massimo Aria and Dr. Carmela Iorio.
Collaborations
With Prof. Carolin Strobl (UZH Zurich), Dr. Mirka Henniger (University of Basel), Prof. Achim Zeileis (Universitat Innsbruck) and Prof. Torsten Hothorn (UZH Zurich), I develop rule- and tree based methods for psychological research and multilevel data structures.
With Prof. Andreas Brandmaier (MSB Medical School Berlin, Max Planck Institute for Human Development Berlin)
With Prof. Philipp Doebler (TU Dortmund) and Dr. Jakob Schwerter (TU Dortmund), we apply prediction rule ensembles to model gender biases in educational choices.
With Dr. Alexandra Dingemans (GGZ Rivierduinen) en Dr. Pieter Rohrbach (Open University), we use decision trees for personalizing treatment of eating disorders.
With Dr. Ellen Driessen (Radboud University) and Dr. Nessa Ikani (Tilburg University), we use decision trees and prediction rules for personalizing treatment of mood disorders.
With Dr. Jiska Aardoom (Leiden University Medical Centre) and Dr. Eline Meijer (Leiden University Medical Centre), we use machine learning for personalizing e-health.
With Prof. Michael Richardson and Dr. Meiru Wang (Leiden University), I model toxicity of microplastics and venoms.
With Prof. Matthias Ziegler & Prof. Samuel Greiff, I work on machine learning for psychological assessment.
With Prof. Miranda Wolpert and the University College London's Evidence Based Practice Unit Anna Freud Center London, I work on using machine learning for predicting and improving child and adolescent mental health.