Guanghua Chi is a research scientist at Meta with a decade of experience applying large-scale data and machine learning to societal challenges like global migration, poverty, and social capital. His work—rooted in geographic information science and a PhD from UC Berkeley—has produced peer-reviewed publications in outlets such as PNAS and shaped public discourse in The New York Times and The Economist. Prior roles include spatial computing work at Facebook, poverty-prediction consulting for the IFC, and discovery of China’s “ghost cities” using billions of GPS points at Baidu Research. He blends rigorous academic methods with production-facing analytics to drive measurable social impact, often surfacing insights that inform policy and global media narratives.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Information Science, Doctor of Philosophy (Ph.D.), Information Science at UC Berkeley School of Information
Bachelor's degree, Geographic Information Science, Bachelor's degree, Geographic Information Science at East China Normal University
Master's degree, Geographic Information Science and Cartography, Master's degree, Geographic Information Science and Cartography at Peking University
Contributions:9 commits, 3 pushes in 1 year 3 months
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