MrFilippo Giovagnini

I am a PhD candidate in Mathematics at Imperial College London, supervised by Professor Dan Crisan. My research focuses on mean-field limits of stochastic and deterministic interacting particle systems for approximating fluid dynamics equations, including the Navier-Stokes equations, with applications in science and engineering.

I hold a Bachelor's and Master's in Mathematics from the University of Pisa, where I developed a strong interest in fluid dynamics and mathematical modeling. Alongside my PhD, I work part-time as a Machine Learning engineer at Aleta Index. I'm particularly interested in applying machine learning to fluid dynamics and real-world problems.

I'm always open to discussions on research, collaborations, and applications of mathematics—feel free to connect!