Computer Sciences PhD student Shawn Im has been awarded a National Science Foundation (NSF) Graduate Research Fellowship (GRFP), which is a highly competitive program that provides funding and support for graduate students. Im’s research is in Machine Learning with Professor Sharon Li as his advisor. His research focuses on building reliable methods to understand and control machine learning model behavior, especially for model safety, through theoretical insights. “Shawn has demonstrated remarkable intellectual curiosity and independence early in his PhD career,” says Li. “His work pushes the boundaries in large language model safety with both rigor and creativity. I’m thrilled to see his potential recognized by the NSF GRFP.”
The goal of the NSF Graduate Research Fellowship Program is to help ensure the quality, vitality, and strength of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing full-time research-based master’s and doctoral degrees in science, technology, engineering, and mathematics (STEM) or in STEM education. The GRFP provides three years of support over a five-year fellowship period.
“I am grateful for this fellowship and for the support I’ve had from Sharon and others that made this possible,” says Im. “I am excited for the opportunities this will open up!”