research Deep learning for streamflow simulation and forecasting State-space models and diffusion-based generative models for streamflow simulation and probabilistic forecasting. Physics-aware neural networks for hydrology Embedding mass conservation into neural networks to study how physical constraints shape performance, generalization, and learned representations.