I am a PhD candidate in Computational and Mathematical Engineering (ICME) at Stanford University, working in Surya Ganguli's lab. My research focuses on understanding how intelligence emerges in large networks of neurons, both biological and artificial. My approach is to model a network mathematically at the appropriate scale, derive its behavior analytically, and test those predictions against experimental data. My work spans a wide range, from rigorous mathematical modeling and analysis to developing new statistical methods for assessing how well a model explains the data.
Before Stanford, I studied mathematics and statistics at Seoul National University, where I worked on the ergodic behavior of randomized optimizers and on synchronization models. Building on this experience with the long-time behavior of chaotic interacting systems, I now aim to uncover the hidden mathematics of neuronal systems.
Outside of research, I enjoy both outdoor and indoor activities. I love camping and hiking, exploring nature. Indoors, I spend most of my time playing board games and building LEGO sets. I also enjoy swimming.