I’m a CS Ph.D. student at Stanford, advised by Chelsea Finn and part of the IRIS 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 neural network models that can learn and make reliable decisions even in changing environments. To accomplish this, I believe that we should move beyond the independent and identically distributed (i.i.d.) paradigm and address the nonstationary nature of real-world data in our learning and evaluation procedures.