Hello! I am a second-year Ph.D. student in Computer Science at Cornell University advised by Prof. Alexander Rush. My research interests lie in the broad field of machine learning and natural language processing. Before joining Cornell, I was a research intern at Korea Institute of Science and Technology (KIST). I received a B.A. in Applied Statistics and a B.S.E. in Computer Science and Engineering from Yonsei University.
Current research directions
Efficiency: compressing and accelerating large neural language models along multiple axes, including model size, training/inference time, computations, etc.
Interpretability: identifying which part of the model or data correlates to language model outputs
Robustness: spurious correlations in conditioned text generation