Niels is conducting research using generative models to address questions in the natural sciences, specifically focusing on improving methods for optimal design and simulation-based inference in neuroimaging. His research interests include:
- Adaptive Bayesian design optimization
- Real-time inference and uncertainty quantification,
- Robust inference from complex, high-fidelity data in low-data regimes
He is co-supervised by Dr. Xavier Intes from the awesome Functional & Molecular Optical Imaging Laboratory.