Summary
G Morris is a data-driven journalist, author, and founder with 11 years’ experience building predictive models for politics, public opinion and economics. He runs Morris Predictive Insights, offering polling design, weighting, and Bayesian time-series forecasting while freelancing for research startups and institutional clients. Previously he led FiveThirtyEight’s data analytics team at ABC News, producing production-grade forecasting models and communicating uncertainty to a 300m audience during the 2024 cycle. His toolkit blends classical ML with Bayesian modeling in R, Python and Stan, and he automates survey pipelines including MRP and calibration workflows. Based in Washington, DC, he pairs newsroom storytelling instincts from The Economist and NYT freelance work with rigorous statistical practice. He is notable for translating technical election risk signals into clear narratives that influenced live broadcast decision-making.
11 years of coding experience
Bachelor's degree(s), Government, History, Statistics, Bachelor's degree(s), Government, History, Statistics at The University of Texas at Austin