I am a postdoctoral researcher with Libby Barnes at Boston University. Previously, I completed a PhD studying under Mike Pritchard (now at NVIDIA Corporation) at UC Irvine where I conducted research using machine learning to cheaply emulate computationally expensive subgrid physical processes in multiscale climate models.

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 jlin404 at bu.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 societal progress. I also enjoy running, ebiking, board games, and learning new things.

For further inquiries, you can contact me at jlin404 at bu.edu. You can also catch me on Bluesky with handle @jlin404.com.