Urminder Singh is a Staff Bioinformatics Scientist in San Diego with nine years of experience building scalable, reproducible genomics workflows and tools for large RNA-Seq datasets. At Illumina he progressed from Bioinformatics Scientist to Staff, bringing hands-on expertise in pipeline engineering, deep generative models for transcript expression, and analysis of species-specific orphan genes. During his PhD at Iowa State he led development of widely used open-source tools (MetaOmGraph, pyrpipe, orfipy) and processed hundreds of terabytes of GTEx, TCGA and SRA data, accelerating COVID-19 research through collaborative consortia. He combines strong software engineering (Java, Python, R) with statistical and machine learning innovation, having published methods like PlncPRO and mentored multiple students. Less obvious is his balance of product-minded delivery and academic rigor: he co-authored grants, gave invited talks, and translated research prototypes into robust tools used by the community.
9 years of coding experience
10 years of employment as a software developer
Master of Technology (MTech) Computational and Systems Biology, Master of Technology (MTech) Computational and Systems Biology at Jawaharlal Nehru University
Doctor of Philosophy (Ph.D.) Bioinformatics and Computational Biology, Doctor of Philosophy (Ph.D.) Bioinformatics and Computational Biology at Iowa State University
University of Delhi
Master of Computer Applications (M.C.A.) Computer Science, Master of Computer Applications (M.C.A.) Computer Science at South Asian University
Reproducible bioinformatics pipelines in python. Import any Unix tool/command in python.
Contributions:6 releases, 809 commits, 6 PRs in 1 year 6 months
unixpythonpipelinecondapipeline-framework
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