I am a PhD student at the University of Surrey working on Machine Learning for Dynamical Systems in Astrophysics. My research focuses on developing neural methods as surrogate models for complex gravitational dynamics, particularly N-body simulations of galaxy mergers and dynamics of supermassive black hole binaries.
- Neural Differential Equations
- Graph Neural Networks
- Operator learning and structure-aware models
- Symbolic Regression
- Pretraining, transfer and multi-task learning for models across simulation regimes