Hello! I am a PhD candidate in Mathematics at Imperial College London, supervised by Professor Dan Crisan. My research concerns stochastic analysis and numerical methods for fluid-dynamics PDEs and SPDEs, with a particular focus on vortex methods and interacting particle systems.

Working with particle systems, McKean–Vlasov equations and nonlinear PDEs led me to explore modern machine-learning architectures from a more mathematical perspective. I am increasingly interested in understanding the internal behaviour and representations of large models.

Alongside my PhD, I work on applied machine learning projects at Stripe Partners.

I enjoy working where theory informs engineering, and where experiments help refine theoretical understanding.