faculty
- Assistant Professor, Department of Machine Learning and Neural Computation. Donders Institute, Radboud University, Netherlands.
- Research Fellow, Neural Acoustics Processing Lab, Columbia University, New York, United States.
- Associate Member, Maastricht Center for Systems Biology and Bioinformatics. Maastricht University, Netherlands.
phd students
- PhD Candidate, Donders Institute, Radboud University, Netherlands: “General-Purpose Audio Representation Learning”.
- PhD Candidate, Donders Institute, Radboud University, Netherlands: “Machine Learning Approaches for Speech Separation in Cochlear Implants”
master students
Current
- Wessel Ledder: Audio-driven reinforcement learning for naturalistic task-driven representation learning for auditory scene analysis.
- Vaggelis Spithas: Leveraging audio foundation models as generative audio models.
- Rik Jansen: Deep reservoir computing for audio.
- Frank Nusteling: Multi-channel, self-supervised speech representation model with spatial attributes.
Graduated:
- Tam Van (2026): Quantifying speech phenotypes in rare genetic syndromes with machine learning.
- Meike Span (2026): Spectrotemporal and spatial representations in general-purpose real-world audio models (GRAMs).
- Max May (2025): A self-supervised, domain-general learning framework for human sound localization.
