Assistant Professor of Machine Learning at the University of Amsterdam
Member of the Amsterdam Machine Learning Lab
Lab manager of the UvA-Bosch Delta Lab 2
ELLIS member
Research interests span generative modeling, uncertainty quantification, reasoning, and machine learning, as well as their application to the sciences
Current research focuses on generative models (diffusions, flows, generative flow networks, etc.), approximate inference (variational and Monte Carlo methods), probabilistic modeling (natural sciences, computer vision, health, etc.), and uncertainty quantification and hypothesis testing (E-values, conformal prediction, etc.)