I work at the intersection of machine learning and atmospheric science, building models that help us better understand and predict complex weather systems.
What drives me
I’m fascinated by high-impact forecasting, from mountain weather to large-scale climate dynamics. I enjoy turning cutting-edge State-of-the-art research into practical tools that improve real-world forecasts.
Currently
Exploring pathways to blend data-driven learning with physical priors, and applying these methods to real-world forecasting.
Future
I am committed to applying my expertise in machine learning to advance general intelligence systems that benefit humanity, ensuring they remain aligned and corrigible as we scale toward superintelligence and beyond.
