Yuexu Jiang
Research Engineer at University of Kentucky
Columbia, Missouri, United States
Summary
👤
Senior🎓
Top SchoolYuexu Jiang is a research engineer and postdoctoral-trained computational biologist with 11 years of experience designing machine learning and deep learning methods for bioinformatics problems. He develops practical tools, webservers, and analysis pipelines to make advanced protein localization, targeting peptide identification, domain boundary prediction, and multi-omics/system-biology methods accessible to experimentalists. Having transitioned from doctoral training in computer science and bioinformatics at Jilin University and the University of Missouri-Columbia to research roles at Mizzou and the University of Kentucky, he blends rigorous algorithmic thinking with hands-on data processing for sequencing and single-cell RNA-seq. Beyond publications and grant support, he advises students and contributes to community-facing resources, emphasizing reproducible pipelines and user-friendly deployments. An underappreciated strength is his focus on knowledge-graph–driven system biology, which lets him integrate heterogeneous data sources to generate biologically actionable hypotheses.
11 years of coding experience
Doctor's Degree, Bioinformatics, Doctor's Degree, Bioinformatics at Jilin UniversityUniversity of Missouri
English, Chinese
Github Skills (8)
prediction8
ab-initio7
sequencing2
bioinformatics2
reproducible-research1
machine-learning1
development-environment1
pipeline1
Programming languages (3)
Github contributions (5)
yuexujiang/IMPResNodeJS
Jan 2018 - Dec 2024
Contributions:1 release, 18 pushes, 1 branch in 6 years 11 months
yuexujiang/MULocDeepWeb
Apr 2021 - Jan 2023
Contributions:4 releases, 30 commits, 3 PRs in 1 year 8 months
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