I'm happy to announce that I recently joined Brightband and am thrilled to work under the leadership of Ryan Keisler, Daniel Rothenberg, and Julian Green. We are building the most adaptive and efficient weather forecasting system in the world.
I was a PhD student at ETH Zürich where I studied machine learning.
Towards the end of my PhD, I interned with Stephan Hoyer for one year, advancing the state-of-the-art of machine learning for computational fluid dynamics, which resulted in this paper published in TMLR. I learned so much from Stephan, Dmitrii Kochkov, and the rest of the team.
I wrote my dissertation and found my next position working at AI2, developing pure ML-based climate models under the leadership of Chris Bretherton. I contributed to the groundbreaking first pure AI-based climate model.
My research interests include convex optimization, Bayesian inference (variational inference), simulation, inverse problems, probabilistic programming, and more. Recently, I have focused on ML for weather and climate.
Outside of work, you can find me playing a Pete Ross banjo.
Last updated: March 14, 2025