About Me

I am a Ph.D. student in Electrical and Computer Engineering at The University of Texas at Austin, advised by Professors Gustavo de Veciana and Hyeji Kim. My research focuses on federated learning, learning-based compression, generative models, reinforcement learning, and their applications to wireless networks, such as channel compression and resource management.

I earned my B.S. in Computer and Communication Engineering from Korea University in 2017 and my M.S. in Electrical and Computer Engineering from Seoul National University in 2019 under the guidance of Professor Jungwoo Lee. Before starting my Ph.D., I worked as a Machine Learning Engineer at Samsung, addressing network resource management and load balancing using AI-based methods.

In the summer of 2024, I interned as an AI Wireless Intern at InterDigital, where I developed diffusion-based generative models for CSI compression. In the upcoming summer of 2025, I am excited to join Meta as a Machine Learning Software Engineering Intern, focusing on the automation of machine learning systems.