I am a PhD student at the University of Surrey working on advancing Scientific Machine Learning methods for Astrophysics. My research focuses on bridging machine learning with complex dynamical systems, particularly N-body gravitational simulations and galaxy merger dynamics.
- Graph Representation Learning
- Pretraining and Transfer Learning for efficient model adaptation
- Neural Ordinary Differential Equations (Neural ODEs)
- Symbolic Regression
- Dynamics of Supermassive Binary Black Holes
- N-body Simulations
- Semantic search and information retrieval using pre-trained embedding models
- Fine-tuning open source LLMs for domain-specific applications
