My research interests are in scalable, probabilistic machine learning. More recently, I have focused on:
- Uncertainty and out-of-distribution robustness in deep learning
- Deep generative models including generative adversarial networks (GANs), normalizing flows and variational auto-encoders (VAEs)
- Applying probabilistic deep learning ideas to solve challenging real-world problems