Biography
Research Statement ↗I am a first-year Ph.D. student in Computer Science at Johns Hopkins University. My long-term vision is to enable everyone to independently choose, customize, and deploy AI. To work toward this goal, I am interested in understanding AI workloads and optimizing the systems and resources that support them.
Specifically, I study communication in distributed AI systems, including the origins of traffic bursts during collective operations, with the goal of informing more effective scheduling and load balancing. Before joining JHU, I was an AI Research Intern at the Korea Institute of Science and Technology (KIST). I received my B.Eng. in Information and Communications Engineering from Hankuk University of Foreign Studies in 2025.
Selected Projects
All projects ↗Understanding Traffic Bursts in GPU Collective Communication
Mechanism-aware, cross-layer measurement of GPU collective traffic bursts and the execution phases that shape them.
Proportional-Fair Multipath Forwarding in Edge Networks
Designed and tested traffic-aware multipath forwarding to distribute data across constrained network paths.