I am an undergraduate student in Electrical and Computer Engineering, double majoring in Mathematical Sciences at Seoul National University (SNU). I am currently a research intern at the SNU Machine Perception and Reasoning Lab, advised by Prof. Jonghyun Choi. Before that, I was a visiting student and research intern at UC Irvine, where I worked with Prof. Stephan Mandt, and I also conducted research at SNU with Prof. Young Min Kim and Prof. Bohyung Han. I am seeking Ph.D. positions starting in Fall 2027.
Research Vision
My work has focused on generative visual computing, where images, video, point clouds, human motion, and 3D geometry are treated as structured visual signals that can be controlled, synchronized, and extended across tasks. This line of work has appeared in leading computer vision and machine learning conferences including NeurIPS, CVPR, ECCV, ICML, and WACV.
My current direction moves from controlling generation toward understanding learning itself. I am beginning a new research agenda on neuroscience-inspired AI – using ideas from memory operations to study how artificial neural networks learn and generalize. I see this could be a path toward training and learning mechanisms that are not only stronger, but also more interpretable and adaptable.
The long-term question I care about is how to build intelligence that can solve problems beyond current human capability. My research so far has focused generative modeling as a lens for studying how systems form and manipulate representations. By connecting it with neuroscience-motivated ideas and continual learning, I aim to study the fundamentals of learning mechanisms. The broader goal is to build systems whose mechanisms can be explained and scaled toward more general intelligence.
