Aavash Subedi

I am a third year PhD student at the University of Oxford supervised by Professor Yee Whye Teh and Professor Philip Stier within the Intelligent Earth CDT. I am currently interesed in Generative Models for Rare Events with applications to the natural sciences, with a particular focus on weather and climate. In general I am interested in sampling techniques such as steering, Monte Carlo methods and numerical integrators.

In my previous life, I compleleted a masters in Physics at the University of Manchester working on combinatorial optimisers and graph neural networks applied to the upcoming Square Kilometer Array, supervised by Professor Anna Scaife. I was fortunate to work on many interesting AI4Science problems throughout my degree. I completed an internship with Dr Dorina Thanou (summer 2023) at EPFL working on GNNs for digital histopathology. Prior to this I was a research intern with Professor Yee Whye Teh (summer 2022) at the University of Oxford on Equivariance for the drug discovery pipeline.

I have also applied various deep learning tools to cloud & solar power forecasting and represented my university in the two iterations of ClimateHack. Please see here for my CV (08/03/2024).