🎓 I'm currently a Schmidt Sciences AI in Science Fellow at Imperial College London.
My work applies machine learning and data science techniques to study structures in mathematics and theoretical physics.
- Geometric Machine Learning
- Flow-based Generative Models
- Bayesian Inference
- Calabi–Yau and G₂ Manifolds
- String Theory
We generate Calabi–Yau manifolds via the toric construction using a genetic algorithm.
We predict topological invariants of contact Calabi–Yau link G₂ manifolds.
📫 Get in touch:
Email • Google Scholar • LinkedIn