Ming-wen Hu
Bioinformatics Scientist
Baltimore, Maryland, United States
Summary
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Senior🎓
Top SchoolMing-wen Hu is a bioinformatics scientist with 8 years of experience applying computational methods to NGS and proteomics datasets, currently contributing at the Chan Soon-Shiong Institute of Molecular Medicine at Windber. He has deep hands-on expertise in RNA-seq, ATAC-seq, single-cell multi-omics, and pipeline engineering using Snakemake, R, Python and Bash, and has built clustering and other algorithms for single-cell analysis during a long postdoctoral and research career. At Johns Hopkins Wilmer Eye Institute he combined consulting and analysis for NIH-funded projects, translating complex data into actionable biological insight. Trained as a PhD mechanical engineer, he brings a quantitative modeling mindset to bioinformatics problems and a track record of managing reproducible workflows and collaborative projects. He pairs practical ML skills (clustering, classification, regression) with strong communication, making him effective at both method development and cross-disciplinary scientific interpretation.
8 years of coding experience
6 years of employment as a software developer
University of Massachusetts AmherstMaster of Science (MS), Mechanical Engineering, Master of Science (MS), Mechanical Engineering at National Taiwan Ocean University, TaiwanGithub contributions (5)
mhu10/scPanoView
Apr 2018 - Jan 2020
Contributions:265 commits, 41 pushes, 1 branch in 1 year 8 months
mhu10/SMK_RNAseq
May 2023 - May 2023
Contributions:6 pushes in 10 days
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