Duc Tran
Bioinformatics Scientist
Missouri, United States
Summary
👤
Senior🎓
Top SchoolDuc Tran is a bioinformatics scientist with a decade of experience applying computational methods to understand disease mechanisms and advance therapeutics. Currently at Washington University School of Medicine in St. Louis, he designs and implements scalable pipelines and machine/deep learning models for large-scale biomedical data, including single-cell and bulk RNA-seq, microarray, and SNP datasets. He holds a PhD in Computer Science from the University of Nevada, Reno and blends rigorous computational training with hands-on laboratory collaboration from earlier research roles across the US and Italy. Known for translating complex biological questions into reproducible analysis and visualization workflows, he is comfortable taking models from prototyping to production-ready pipelines. Based in Missouri, he brings a rare combination of chemistry foundation, advanced algorithmic skills, and practical experience integrating heterogeneous genomic data for translational research.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Chemistry and Biological Chemistry, Bachelor of Science (BS), Chemistry and Biological Chemistry at Nanyang Technological UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Nevada, Reno
English, Vietnamese
Github Skills (10)
subtyping8
bioinformatics8
prediction7
data-analysis5
bioconductor4
machine-learning3
simulate3
distributions2
julia2
deep-learning1
Programming languages (3)
Github contributions (5)
duct317/scDHA
Jul 2020 - Jul 2022
A tool for single-cell data analysis.
Contributions:2 releases, 57 commits, 7 PRs in 2 years
bioinformaticsdata-analysissingle-cell
duct317/SCFA
May 2020 - Jul 2022
A tool for cancer subtyping and risk score prediction using multi-omics data.
Contributions:49 commits, 2 PRs, 45 pushes in 2 years 2 months
multi-omicspredictionrisksubtypingmulti-omics-data
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