Kyu Han
Research Scientist at LG AI Research
Maryland, United States
Summary
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Senior🎓
Top SchoolKyu Sang Han is a research scientist and machine learning engineer with nine years of experience applying AI to computational biology, biomedical imaging, and multi-omics integration. With a Ph.D. in Chemical and Biomolecular Engineering from Johns Hopkins, he has led NIH-funded tissue mapping efforts and built scalable pipelines for curating and analyzing complex clinical and imaging datasets. Comfortable across the stack—from prototyping models in TensorFlow/PyTorch to deploying MLOps for real-world EHR and pathology data—he blends rigorous experimental training with production-oriented engineering. Currently at LG AI Research after roles at Insilica and Johns Hopkins, he is adept at translating cutting-edge generative and large-model techniques into domain-specific solutions. An unusual combination of graphic design exposure and hands-on wet-lab-adjacent research gives him a strong sense for interpretable visualization and data presentation in high-dimensional biomedical contexts.
9 years of coding experience
3 years of employment as a software developer
Johns Hopkins UniversityVisiting Student, Graphic Design, Visiting Student, Graphic Design at Maryland Institute College of ArtBachelor of Science - BS, Chemical and Biomolecular Engineering, Bachelor of Science - BS, Chemical and Biomolecular Engineering at Johns Hopkins Whiting School of EngineeringHigh School, High School at Cushing Academy
Korean, EnglishProgramming languages (3)
Github contributions (5)
kukionfr/Aging_human_dermal_fibroblast_nucleus
Aug 2020 - Jan 2025
Contributions:36 pushes, 1 branch in 4 years 6 months
kukionfr/VAMPIRE_open
Jan 2020 - Apr 2022
open source version of VAMPIRE analysis : visually-aided morpho-phenotyping recognition
Contributions:5 releases, 78 commits, 2 PRs in 2 years 2 months
recognitionphenotypingvampire
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