Hector Muñoz
Senior Machine Learning Scientist at Vir Biotechnology, Inc.
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHector Muñoz is a Senior Machine Learning Scientist and bioengineer with a PhD from UCLA and over a decade of experience applying ML, image analysis, and microfluidics to commercial, clinical, and academic problems. He builds reproducible Python-based analytics and cloud-enabled image-processing pipelines that have driven assay and device decisions in biotech startups and are now applied at Vir Biotechnology. Hector blends deep technical rigor—Bayesian inference, automated test suites, CI improvements, and OpenCV/TensorFlow development—with hands-on lab experience in imaging flow cytometry and microfluidic assay design. He is an active open-source contributor focused on test infrastructure and code quality (notably contributions to ArviZ, Aesara, and pyjanitor), reflecting a commitment to maintainable tooling for scientific software. Known for translating complex experimental data into actionable product insights, he regularly presents results to executive teams and trains cross-functional collaborators. Based in Los Angeles, he combines academic innovation (patents and international standardization efforts) with production-ready software engineering.
7 years of coding experience
13 years of employment as a software developer
BS Bioengineering, BS Bioengineering at Rice UniversityDiploma, Diploma at Morris Knolls High SchoolUniversity of California, Los Angeles
English, Spanish
Github Skills (28)
pari10
visualization10
pytest10
python10
image-processing10
testing10
pandas10
n10
cicd10
numpy10
automation10
automation-testing10
data-cleaning10
napi10
automations10
Programming languages (9)
Github contributions (5)
pyjanitor-devs/pyjanitor
Jul 2018 - Nov 2022
Clean APIs for data cleaning. Python implementation of R package Janitor
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 reviews, 42 commits, 48 PRs in 4 years 4 months
Contributions summary:Hector primarily contributed to improving the codebase's naming conventions, particularly within the `expand_column()` function in `janitor/functions.py`. They also merged updates from the upstream `dev` branch and made related changes in the documentation and test files. Additionally, the user addressed various formatting issues and updated deprecated arguments across several functions, indicating a focus on code quality and maintainability.
cleaningr-packagepythondatadata-science
arviz-devs/arviz
Mar 2020 - Jul 2022
Exploratory analysis of Bayesian models with Python
Role in this project:DevOps Engineer & Test Automation Engineer
DevOps Engineer & Test Automation EngineerContributions:5 commits, 5 PRs, 58 comments in 2 years 3 months
Contributions summary:Hector focused on improving the testing infrastructure and continuous integration of the ArviZ project. Their commits included modifications to the testing setup, such as skipping tests based on dependencies and environment variables, and the addition of custom import functions for the CI environment. They also addressed code style issues and refined test logic for improved accuracy and maintainability. They demonstrated expertise in pytest and related tools used in the CI/CD pipeline.
pythonexploratorybayesian-inferencemachine-learningbayesian-models
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