Biography
I am a researcher at Google DeepMind in Amsterdam, where I work on generative modelling. My recent research focuses on diffusion models, efficient sampling and distillation, and equivariant neural networks for structured data such as molecules and graphs.
Before joining Google in 2022, I completed my PhD at the University of Amsterdam with Max Welling in the UvA-Bosch Delta Lab. During my PhD I worked on normalizing flows, discrete generative models, and equivariant deep learning.
Interests
- Generative Modelling
- Diffusion Models
- Equivariant Deep Learning
- Artificial Intelligence
Education
PhD in Machine Learning, 2022
University of Amsterdam
MSc in Artificial Intelligence, 2017
University of Amsterdam
BSc in Aerospace Engineering, 2015
Delft University of Technology
