Chris Albon

Senior Director Of Machine Learning And Data Engineering

San Francisco, California, United States
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Summary

👤
Senior
🎓
Top School
Chris Albon is a seasoned machine learning and data engineering leader with 12+ years of experience building data-driven systems across mission-driven organizations and startups. Currently Senior Director of Machine Learning and Data Engineering at the Wikimedia Foundation, he has led ML teams at scale and previously drove data science initiatives at Devoted Health, BRCK, Ushahidi, and FrontlineSMS. He combines academic rigor—a Ph.D. in Political Science studying civil wars and healthcare—with practical product experience as a founder (Popily, Yonder) and author of Machine Learning for Python Cookbook. Known for translating complex research into deployable systems, he’s comfortable bridging policy, humanitarian, and commercial domains to deliver measurable impact. Based in San Francisco, he pairs strategic leadership with hands-on tooling and educational work (Machine Learning Flashcards, a long-running data science podcast), reflecting a commitment to making ML accessible and usable. An uncommon strength is his history of applying ML to low-resource and public-interest settings, which informs how he designs resilient, equitable data systems.
code13 years of coding experience
job14 years of employment as a software developer
bookPh.D., Political Science, Ph.D., Political Science at University of California, Davis
bookUndergraduate, Political Science, Religious Studies, International Studies, Undergraduate, Political Science, Religious Studies, International Studies at University of Miami
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Github Skills (68)

python10
deep-learning10
statistics10
artificial-intelligence10
data-science10
machine-learning10
rscript9
bioinformatics9
ice9
jupyter9
plotly8
flask8
ipython8
charting8
notebook8

Programming languages (8)

RCSSRustJavaScriptGoHTMLJupyter NotebookPython

Github contributions (5)

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Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
Contributions:182 commits, 8 PRs, 178 pushes in 3 years 8 months
artificial-intelligencedata-sciencedeep-learningengineering-managementmachine-learning
chrisalbon/code_py

Apr 2014 - Jan 2019

A collection of well-commented code snippets for data science
Contributions:75 commits, 4 PRs, 21 pushes in 4 years 9 months
data-science
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