Shahine Bouabid

DPhil in Statistics student

About Me

I am a final year PhD student supervised by Dino Sejdinovic, Tom Rainforth and Athanasios Nenes as part of the iMiracli innovative training network of aerosols-cloud interactions and machine learning. Prior to that I graduated from Mathématiques, Vision, Learning (MVA) master at ENS Paris-Saclay and from Ecole Centrale-Supélec in applied mathematics.

Research Interests

I am interested in developing simple and interpretable statistical machine learning methodologies to address challenges that arise in climate science. My recent work has focused on climate model emulation using physically-informed models and statistical downscaling. The tools I use mostly draw from the theory of reproducing kernel Hilbert spaces and Gaussian processes, for which I enjoy a fond theoretical interest.