Jae Myung Kim

I am a Research Scientist at R1, a healthcare company, where I work on building and improving LLMs for healthcare applications. My current research focuses on healthcare × AI, with particular interest in knowledge distillation during midtraining and posttraining of LLMs.

I completed my PhD at the University of Tübingen as a member of the ELLIS & IMPRS-IS programs, advised by Zeynep Akata (TU Munich/Helmholtz Munich) and closely working with Cordelia Schmid (Inria/Google). I received my B.S. and M.S. degrees from Seoul National University.

During my PhD, I worked on synthetic data generation, weak alignment, and few-shot learning. I am also interested in explainability, bias, and uncertainty in machine learning.

Feel free to reach out — I'm always open to discussions and collaborations!