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@bu.edu.

You can download an up-to-date copy of my resume here.

non work stuff

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. I am active on Bluesky and occasionally post on a personal blog at coupledsystems.leaflet.pub.