Doosoo Yoon
Research Computational Facilitator
Iowa City, Iowa, United States
Summary
👤
Senior🎓
Top SchoolDoosoo Yoon is a computational researcher and data scientist with 11 years of experience building high-performance simulation codes and scalable analysis pipelines for TB-scale astrophysics data. Currently a Research Computational Facilitator at the University of Iowa, he has accelerated GPU-enabled simulations by over 10x and created Python tools to produce synthetic black hole images from large-scale datasets. He pairs deep domain knowledge in black hole physics with practical data engineering skills—Python, Dask, PySpark, SQL, CUDA—and a track record of deploying ML models for parameter inference and time-series forecasting. His work spans from developing CPU- and GPU-parallel algorithms in supercomputer environments to mentoring PhD students and delivering award-recognized research publications. Passionate about extracting hidden patterns, he now focuses on applying machine learning and ETL/ELT pipelines to complex scientific and real-world datasets. An under-the-radar strength is his ability to translate terabyte-scale simulation outputs into interpretable visualizations that directly informed theoretical insight.
11 years of coding experience
7 years of employment as a software developer
Master's degree Astronomy, Master's degree Astronomy at Seoul National UniversityDoctor of Philosophy (Ph.D.) at 2015 Astronomy and Astrophysics, Doctor of Philosophy (Ph.D.) at 2015 Astronomy and Astrophysics at University of Wisconsin-MadisonData Science Career Track, Data Science Career Track at Springboard
English, Korean
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
yang3
refinement2
qualcomm2
athena2
mesh2
infiniband1
5g1
amr1
astrophysics1
Programming languages (6)
Github contributions (5)
astrodoo/pyds
Apr 2017 - Mar 2021
Contributions:64 commits, 59 pushes, 1 branch in 3 years 11 months
astrodoo/CodeExr
Jun 2016 - Apr 2024
Contributions:84 pushes, 1 branch in 7 years 11 months
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