About Me

I am a Ph.D. candidate in the Dept. of Artificial Intelligence at Korea University, advised by Prof. Sangpil Kim in the Computer Vision Lab. My research focuses on deep learning-based Computer Vision, particularly 3D perception, reconstruction, and scene understanding. I am especially interested in developing visual perception systems that can robustly interpret real-world environments by bridging advances in representation learning, geometry, and practical applications. I have collaborated with Innfarn Yoo and Andreas Lugmayr from Google on generalizable 3D scene reconstruction. More recently, I worked as an Applied Scientist Intern at Amazon Robotics, where I conducted research on RGB-D-based 3D perception for robotic manipulation, with valuable guidance and support from my mentor, Erhan Gundogdu, and my manager, Juxi Leitner.