Zhe Wang

Computational Biologist II

Arlington, Massachusetts, United States
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Summary

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Senior
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Top School
Zhe Wang is a computational biologist with a decade of experience bridging bioinformatics, single-cell transcriptomics, and mass-spectrometry proteomics. Over six years in computational biology—including five focused on scRNA-seq—he maintains and develops Bioconductor packages (scruff, Celda, singleCellTK) that power reproducible single-cell workflows. At companies from Dicerna to Novo Nordisk he’s translated large-scale sequencing data into actionable insights, supported RNAi design and off-target analysis, and built production-ready pipelines. Proficient in R, Python, Bash and C/C++, he combines deep algorithmic skill with hands-on experimental familiarity, uniquely enabling cross-talk between wet-lab and computational teams. Based in Arlington, MA, he pairs a PhD in bioinformatics with practical open-source stewardship that benefits the broader single-cell community.
code10 years of coding experience
job2 years of employment as a software developer
bookMaster's degree, Biochemistry and Molecular Biology, Master's degree, Biochemistry and Molecular Biology at Wuhan University
bookExchange student, Exchange student at University of Helsinki
bookBachelor's degree, Bachelor's degree at Southwest University Rongchang Campus
bookDoctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at Boston University
languagesChinese, English
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Github Skills (31)

hierarchical10
dimensionality-reduction10
python10
seq10
tsne10
bayesian10
transcriptomics10
gene-expression10
single-cell-analysis10
rna-seq10
bioinformatics10
data-visualization10
genomics10
filtering10
clustering10

Programming languages (5)

RShellNextflowHTMLJupyter Notebook

Github contributions (5)

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zhewa/singleCellTK

Jul 2018 - Sep 2022

Interactively Analyze scRNA-Seq Data
Contributions:84 pushes, 2 branches in 4 years 1 month
genomicsscrna-seqbioinformaticsscrna-seq-datarna-seq
zhewa/celda

Jan 2019 - Nov 2023

Bayesian Hierarchical Modeling for Clustering Single Cell Genomic Data
Contributions:1 release, 594 pushes, 33 branches in 4 years 10 months
hierarchicalclusteringbioinformaticsgenomicmodeling
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Zhe Wang - Computational Biologist II