1. HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training, presented at the Forty-second International Conference on Machine Learning (ICML 25).
2. OMEGA: A Low-Latency GNN Serving System for Large Graphs.
Research Experience
Worked as a software engineer at Viva Republica, a startup that operates one of South Korea’s largest fintech services, before starting his Ph.D. program.
Education
Ph.D. Student in Computer Science at The University of Texas at Austin, 2022-Present, Advisor: Prof. Aditya Akella; B.S. in Computer Science & Engineering (Summa cum laude) and Mathematical Sciences (Double Major) from Seoul National University, Advisor: Prof. Byung-Gon Chun.
Background
Research interests: Systems for machine learning, with a recent focus on tackling the challenges of large-scale model training and inference.