Sangwon Hyun
Post-doctoral Researcher at University of Southern California
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolSangwon Hyun is a postdoctoral researcher and statistician based in Los Angeles with nine years of experience bridging advanced statistical theory and applied research. Trained with a Ph.D. in Statistics from Carnegie Mellon and a B.S. in Honors Statistics and Financial Mathematics from the University of Michigan, he brings deep quantitative rigor to interdisciplinary problems at USC. His work blends probabilistic modeling and data-driven inference, informed by both academic research and practical implementations. Comfortable moving between theory and application, Sangwon is known for translating complex statistical concepts into actionable insights for collaborators. Notably, he combines classical statistical foundations with modern computational workflows, reflecting a pragmatic approach to reproducible research.
9 years of coding experience
Bachelor of Science (B.S.), Honors Statistics, Financial Mathematics, Bachelor of Science (B.S.), Honors Statistics, Financial Mathematics at University of MichiganDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Carnegie Mellon University
English, Korean
Github Skills (65)
corona10
journal9
open-access9
ocean8
api8
academia8
delphi8
r-package8
sensor7
completions7
emacs6
python6
fusion6
emacs-lisp5
satellite5
Programming languages (7)
Github contributions (5)
sangwon-hyun/flowcut
Feb 2023 - Jan 2025
Statistical modeling to estimate cell populations in flow cytometry data that has been censored (caught on the boundary of the instrument limits).
Contributions:1 review, 46 pushes, 1 branch in 1 year 11 months
sangwon-hyun/binseginf
Jun 2018 - Dec 2020
Post-selection inference for segmentation methods
Contributions:1 PR, 116 pushes, 9 branches in 2 years 6 months
pytorchsemantic-segmentationdeep-learninginferenceselection
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