Seong Han
Assistant Professor Of Biological Sciences at Inha University
Incheon, South Korea
Summary
👤
Senior🎓
Top SchoolSeong Han is an assistant professor and computational biologist with 11 years of experience developing interpretable machine learning and network-science models for genomics and disease prediction. His work spans single-cell multiomics, regulatory variant interpretation, and cross-species molecular evolution to predict genotype–phenotype interoperability between humans and animal models. Previously a postdoc affiliated with the Broad Institute and Boston Children’s Hospital, he led ensemble sequence models, network-based polygenic risk tools, and EHR/ontology-driven phenotype analyses. He combines rigorous methodological innovation with translational focus—seeking models that are both predictive and biologically interpretable—and has applied these approaches to kidney disease, cancer prognosis, and model-species selection.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Biology, Doctor of Philosophy (Ph.D.), Computational Biology at Pohang University of Science and Technology
Korean, English
Github Skills (8)
mer9
workitem8
wcag7
refinement7
svm7
accessibility5
single-cell-genomics4
svg4
Programming languages (2)
Github contributions (4)
Dongwon-Lee/gkmQC
Nov 2020 - Feb 2022
gapped k-mer-SVM quality check (gkmQC): Quality assessment and refinement of the chromatin accessibility data
Contributions:1 release, 88 commits, 7 PRs in 1 year 2 months
chromatinworkitemrefinementsvgsvm
Dongwon-Lee/gkmQC-manuscript
Dec 2020 - Oct 2021
Contributions:2 pushes, 1 branch in 9 months
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