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Co-authored the paper 'S62: Schemaless Graph Engine Strikes Back for General-Purpose Analytics' accepted at VLDB 2026. The work presents S62, a novel graph database system that supports schemaless data models while ensuring efficient storage and query processing.

Beginning a 3-month research visit at the University of Illinois Urbana-Champaign.

Co-authored the demo paper 'DoppelGanger++ in Action: A Database Replay System with Fast Dependency Graph Generation,' presented at VLDB 2024. The work showcased the practical implementation of DoppelGanger++ for efficient database replay.

As co-first author, I contributed to 'DoppelGanger++: Towards Fast Dependency Graph Generation for Database Replay,' accepted at ACM SIGMOD 2024. The work proposes a fast and efficient database replay system with significantly improved dependency graph generation.

I co-authored a paper presented at ACM PODS 2023, marking the first Korean research team in the conference’s 42-year history. Our work introduced an optimal sampling method for multi-table joins, advancing both theory and practice in database research

Honored to graduate as the top student (First in Class) for the Class of 2022 from the Department of Computer Science & Engineering at POSTECH.