Natan Lao
Houston, Texas, United States
Summary
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RockstarNatan Lao is a software developer with nine years of experience focused on computational genomics at the UCSC Genomics Institute. He builds and maintains reliable, scalable tooling for genomics workflows, contributing backend and DevOps expertise to open-source projects like Toil. His work improving logging, Azure support, and documentation shows attention to operational detail that keeps large-scale pipelines observable and portable across clouds. Based in the United States, he pairs domain-focused engineering with practical contributions that help research teams run reproducible analyses at scale.
9 years of coding experience
Spanish, English
Github Skills (10)
azure10
logging10
workflow-engine10
microsoft-azure10
python10
dockers9
devops9
docker9
cloud-infrastructure8
documentation8
Programming languages (14)
Github contributions (5)
DataBiosphere/toil
Nov 2016 - Apr 2018
A WDL, CWL and Python API supporting easy-to-use workflow engine. It is scalable, efficient and cross-platform (Linux/macOS).
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:62 commits, 39 PRs, 60 pushes in 1 year 4 months
Contributions summary:Natan made several contributions focused on improving the Toil workflow engine. They fixed a copy-paste typo, and added logging of the configuration and Toil version. The user also addressed issues related to log truncation, log writing, and the handling of log filenames. Additionally, the user implemented features to support the Azure cloud provisioner, and updated the documentation.
linuxmacospythonwdlworkflow-engine
natanlao/dmenu-utils-fish
May 2021 - Mar 2026
Contributions:5 pushes, 1 branch in 4 years 10 months
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