Max Ghenis is a policy entrepreneur, technologist, and economist who builds open-source tools to make public policy analysis transparent and accessible. As co-founder and CEO of PolicyEngine and founder of the UBI Center, he combines product leadership with rigorous microsimulation and quantitative research to model tax, benefits, and universal basic income effects across households. A former Google and YouTube data scientist, he brings 12+ years of experience turning large-scale analytics and NLP into reproducible research workflows and production insights. He serves on the Policy Simulation Library leadership council and contributes to well-known open projects like the Tax-Calculator microsimulator and pytrends testing infrastructure, reflecting his emphasis on reproducibility and community-driven tools. Based in Washington, DC, Max pairs MIT training in Data, Economics, and Development Policy with grassroots advocacy—co-founding a regional YIMBY group and running for party delegate—to push research into real-world policy change.
12 years of coding experience
12 years of employment as a software developer
B.A. Operations Research and Management Science minors in Industrial Engineering and Music, B.A. Operations Research and Management Science minors in Industrial Engineering and Music at University of California, Berkeley
Master of Science - MS Data Economics and Development Policy, Master of Science - MS Data Economics and Development Policy at Massachusetts Institute of Technology
Micromasters Data Economics and Development Policy, Micromasters Data Economics and Development Policy at MITx Courses
USA Federal Individual Income and Payroll Tax Microsimulation Model
Role in this project:
Back-end Developer
Contributions:2 reviews, 150 commits, 24 PRs in 3 years 6 months
Contributions summary:Max made several contributions to the codebase, including adding instructions to the contributor guide, renaming a variable in a Python function, and updating and reverting changes to a documentation file. The user worked with the codebase documentation, modified Python functions, and updated the documentation recipes.
Contributions:14 commits, 5 PRs, 16 comments in 11 months
Contributions summary:Max primarily contributed to improving the testing infrastructure for the `pytrends` project, which is a pseudo-API for Google Trends. Their work involved removing outdated Python 2 functionality, updating test configurations, and adding and modifying tests. Specifically, they introduced tests for various `gprop` values and validated the data types in the interest over time function.
pseudoapigoogle-trendstrends
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Max Ghenis - Co-founder And CEO at Policy Simulation Library