John Hoffman is a data scientist with 11 years of experience applying statistical modeling and machine learning to real-world problems, currently doing analytics work at Meta FAIR. He holds a PhD in Astrophysics from Princeton and dual BS degrees in Physics and Mathematics, bringing a strong quantitative foundation to industry problems from ad optimization to research-grade analytics. Past roles include building ML-driven trader tools on Xaxis’s Copilot AI team and senior data science work at Strong Analytics, illustrating a track record of turning complex data into actionable decisions. Comfortable in Linux and with hands-on coding (johnhoffman.io), he blends deep research experience—ranging from cosmic-ray simulations and stellar X-ray cycle mining to large-scale structure analysis—with production analytics. Colleagues describe him as someone who moves smoothly between exploratory research and practical, deployment-minded solutions.
11 years of coding experience
5 years of employment as a software developer
High School Diploma, High School Diploma at Glenbrook South High School
University of Illinois Urbana-Champaign
Doctor of Philosophy (Ph.D.), Astrophysics, Doctor of Philosophy (Ph.D.), Astrophysics at Princeton University
Contributions:1 PR, 46 pushes, 3 branches in 2 years 1 month
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