I am pursuing a combined M.S.–Ph.D. degree at UNIST Graduate School of Artificial Intelligence. I received a B.Sc. in Computer Science and Engineering from UNIST in 2022 (Cum Laude).
My research focuses on finding the limitations of machine learning paradigms and exploring methods to transcend them. I am currently interested in world models and reasoning (ARC-AGI).
What are the limitations of machine learning? How can we transcend them?