Publications

My research applies machine learning to the natural sciences, with a particular focus on environmental challenges such as climate modeling. Recently I have worked on developing novel methods for downscaling climate data using generative modeling techniques such as diffusion models. I'm especially interested in leveraging physics-informed neural networks such as Fourier Neural Operators, to better capture the underlying dynamics of the climate system.