Daniel Le

Principal Bioinformatics Scientist

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Daniel Le is a Senior Principal Bioinformatics Scientist in the San Francisco Bay Area with a decade of experience applying statistics and machine learning to genomics and sequencing technology. He combines deep domain expertise from PhD-level chemical biology and postdoctoral work with practical engineering skills in R and Python to deliver interpretable, production-ready analyses. At Genentech and prior roles at CZ Biohub, Dovetail, and Stanford, he has led projects from assay development to neural-network–driven variant detection and single-cell transcriptome modeling. He emphasizes project ownership, mentoring, and clear visual communication to translate complex biology into stakeholder-ready insights. Known for bridging high-throughput experimental platforms with advanced computational models, he brings both hands-on assay experience and machine learning rigor to solve biological questions. Colleagues rely on him to turn ambiguous scientific problems into timely, actionable deliverables.
code10 years of coding experience
job6 years of employment as a software developer
bookCalifornia Polytechnic State University, San Luis Obispo
bookDoctor of Philosophy (PhD) Chemistry and Chemical Biology, Doctor of Philosophy (PhD) Chemistry and Chemical Biology at University of California, San Francisco
languagesVietnamese, English
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Github Skills (48)

genomics6
bioinformatics6
genomics-visualization5
rna-seq5
bioconductor5
transcriptomics5
surf5
cancer-genomics5
genome5
visualization4
ansible-collections4
genstage4
azerothcore4
transcript4
comparative-genomics4

Programming languages (9)

RC++ShellJavaScriptNextflowGoJupyter NotebookRuby

Github contributions (5)

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Contributions:30 commits, 333 pushes, 2 branches in 1 year 9 months
danledinh/shiny-server

Feb 2016 - Jun 2016

Contributions:52 PRs, 945 pushes, 6 branches in 4 months
bankshiny-appsshiny
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Daniel Le - Principal Bioinformatics Scientist