First hire on the ML team. Advancing the start of the art of pure ML-based weather forecasting.

Never graduate.

Early and ongoing contributions to ACEv1 and ACEv2, the full machine learning emulation of climate models. Led the denoising diffusion model-based climate downscaling projects, from nuts to bolts.

- Researched a range of topics relating to ML for Science from Bayesian inference to computational fluid dynamics to constrained convex optimization.- Mentored early-stage PhD students and master students, resulting in publications at top-tier ML conferences.- Served as a teaching assistant in a wide range of machine learning and deep learning courses

Modelling turbulent flow using hybrid ML-physics models

I model, I program, I read, I research. I am a PhD student in Computational Biology.

Java backend developer during an intense period when we completely rewrote Perka's codebase.