Vang Le is a senior clinical data scientist and bioinformatics infrastructure architect combining clinical data analysis with large-scale HPC-driven genomics workflows. Based in Aalborg, Denmark, he currently coordinates data analysis for Novo Nordisk's clinical trials and leads digital transformation as CEO of Novodan while teaching machine learning for big data at Duy Tan University. He has built and maintained scalable bioinformatics platforms, including HPC clusters and LIMS, delivering clinical-grade NGS analyses with tools like GATK, samtools, Lifescope, and Ensembl, and leveraging cloud and GPU-accelerated computing. An active open-source contributor, he has improved bcbio-nextgen and collaborates across science and industry to enhance reproducibility and accessibility of genomic analysis; he co-authored papers on clinical genomics. He holds a PhD in Applied Molecular Microbiology and is fluent in Vietnamese, English, Danish, and Korean, blending rigorous science with mindful leadership and a commitment to education via the NVIDIA Deep Learning Institute.
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Role in this project:
Backend Developer
Contributions:10 commits, 5 PRs, 20 comments in 17 days
Contributions summary:Vang primarily contributed to fixing bugs, improving stability, and updating the code within the `bcbio-nextgen` repository. Their commits focused on correcting import errors, ensuring the correct input for specific tools (metasv, ericscript), and cleaning up integration with external services like Google Drive. They also addressed issues related to installation and upgrading of the project, and adjusted the codebase to support newer versions of required libraries.
Contributions:1 PR, 6 pushes, 1 branch in 3 years 2 months
biocondabioinformaticsrecipesconda
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