Jong Youl Choi
Researcher at Oak Ridge National Laboratory and a developer of the HydraGNN graph neural network library
- Researcher, Discrete Algorithms Group, Computer Science and Mathematics Division, Oak Ridge National Laboratory1
Jong Youl Choi is a researcher in the Discrete Algorithms Group of the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL). Choi works on data-centric machine learning algorithms, high-performance data-intensive computing and data management for large-scale scientific workflows. Choi is listed as a developer of HydraGNN, ORNL's open-source multitask graph neural network library, in both its original 2021 software record and its v5.0 release, and ORNL lists the HydraGNN v5.0 user manual among Choi's publications.1342
Career and research
Choi earned a PhD in computer science at Indiana University in 2012 and an MS in computer science from New York University in 2004, and works in ORNL's Discrete Algorithms Group. Choi's research spans data mining and machine learning algorithms, parallel and distributed systems, in situ and in-transit data processing, and data management for code coupling.1
Choi's recent ORNL publications include the HydraGNN v5.0 user manual (May 2026), a conference paper on multi-task parallelism for pre-training graph foundation models on multi-source atomistic data, and the lab's Data and AI Systems FY 2026 highlights report.1
Work
Career timeline
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