I enjoy making things. Here are a selection of projects that I have worked on over the years.
Leveraging artificial intelligence and machine learning to address complex scientific challenges across diverse domains, including civil engineering, chemistry, fluid dynamics, plant biology, and materials science.
Exploring identifiable latent causal structures to improve decision-making in reinforcement learning and interpretability in large language models.
This project integrates two recent advances in differentiable DAG learning: (1) analytic DAG constraints for improved computational stability and (2) Truncated Matrix Power Iteration (TMPI) for escaping gradient vanishing. The methods are applied to causal discovery and structure learning in high-dimensional settings.
