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I’m a first-year CS Ph.D. student at Stanford University, advised by Chelsea Finn. I am a member of the Stanford AI Lab. My research is supported by the KFAS Doctoral Fellowship.

Previously, as alternative military service for the South Korean army, I worked as a research scientist at Kakao and AITRICS, working with Juho Lee. Before that, I completed my master’s (CS, advised by Seungjin Choi) and undergraduate (math) degrees at POSTECH.

My research interest is in developing models capable of learning and decision-making in changing environments. To do so, I believe we should go beyond the independent and identically distributed (i.i.d.) paradigm and account for the variability of real-world conditions in our learning procedures. Two alternative problem formulations of interest to me are meta-learning and distribution-shift robustness, which encode the non-static nature of data generating processes through notions of tasks and domains.

My publications grouped by topic: