Hyungro Lee
Postdoctoral Research Associate
Highland Park, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolHyungro Lee is a performance engineer and researcher with 13 years of experience specializing in HPC and AI benchmarking, workload characterization, and high-performance workflow optimization. Currently a Postdoctoral Research Associate at Pacific Northwest National Laboratory, he has led performance characterization and parallelization efforts for molecular dynamics and ML workloads on systems ranging from XSEDE to ORNL Summit. His background blends deep academic research (PhD-level computer science) with practical DevOps and cloud-to-HPC stack engineering—having built reproducible analytics environments with Ansible, Docker/Kubernetes, and CI tooling. Notably, he has profiled storage and I/O behaviors for scientific Python libraries (HDF5, Lustre, SSD) and optimized GPU-backed simulations and CVAEs, revealing system-level bottlenecks that improve throughput at scale. Based in Highland Park, NJ, he brings a rare mix of hands-on software development from industry portals to large-scale research testbeds and a strong track record of translating benchmarking insights into deployable performance improvements.
13 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Indiana University Bloomington
Stackoverflow
31reputation
2kreached
0answers
2questions
Github Skills (69)
language-bindings10
reference-implementation9
biophysics9
theory8
python8
distributed-computing8
benchmark8
hpc8
simulation8
infiniband8
azure-functions7
saga7
infrastructure7
simulations7
science7
Programming languages (8)
Github contributions (5)
radical-experiments/deepdriveMD
Aug 2019 - Oct 2021
Contributions:126 pushes, 1 branch, 6 comments in 2 years 2 months
MGEScan/mgescan
Mar 2014 - May 2018
Contributions:3 releases, 662 commits, 404 pushes in 4 years 2 months
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