I am a 4th year PhD candidate in the Computational Clouds and Climate Lab at UC Irvine’s Department of Earth System Science. My work applies machine learning to emulate subgrid convection in multiscale climate models in the hopes of one day enabling high fidelity ensemble climate projections. My research interests extend to uncertainty quantification for data-driven methods in physics-based climate models and embedding physical priors and constraints when learning from data.

I believe machine learning is uniquely suited for positive societal impact in climate science because of access to large volumes of data, an explosion of research and interest in machine learning / AI generally, and the human desire to leave the world in a better place than we found it. If you are a machine learner OR a climate science domain expert looking to collaborate, please do not hesitate to contact me at jerryL9 at uci.edu.

more about me

Outside of immediate research interests, I am broadly interested in the protection of democratic institutions and ways technology can be oriented towards (and not against) societal progress. I also enjoy running, ebiking, board games, and learning new things.

For further inquiries, you can contact me at jerryL9 at uci.edu.