I do probabilistic machine learning research and am interested in:
- Generative models (flows, diffusion)
- Large language models (quantization, diffusion language models)
- Sampling (variational inference, Markov chain Monte Carlo, Bayesians)
- AI4Science (inverse problems)
Currently on my mind:
- Flow maps 🌊 🗺️ ????
- JAX is cool 😎





