My academic endeavors have earned me several accolades. I received the Outstanding Doctoral Dissertation Award from Department of Mechanical Engineering at Seoul National University. I also garnered recognition through the Qualcomm AI Fellowship Korea 2021 and Youlchon AI Stars Fellowship 2021. Furthermore, my work, Normalized Autoencoder, was awarded with both Best Poster Award and Most Popular Poster Award at the Machine Learning Summer School 2021 (MLSS 2021).

My research is centered on understanding probabilistic learning principles and building their practical applications. I am deeply engaged with generative models, especially energy-based and diffusion models, exploring their potential in areas such as out-of-distribution detection, reinforcement learning, robotics, and decision making under uncertainty.