Research Interests
My research focuses on mathematical and computational methods for learning from complex structured data. Current topics include:
- Topological Data Analysis: Persistent homology, hypergraph topology, graph complexes, sheaves
- Topological Deep Learning: Simplicial neural networks, copresheaf topological neural network, path complex neural networks
- Mathematical AI: Interpretable and geometry-aware machine learning
- AI for Science: Molecular representation, protein function prediction, biomedical data, and drug design