Soubhik Barari is a senior research methodologist and quantitative social scientist with 11 years of experience applying statistical and computational methods to public policy, political analytics, and health communication. He combines a Ph.D. in Political Science and an A.M. in Statistics from Harvard with hands-on work at NORC, SurveyMonkey, Microsoft Research, MIT, and Harvard IQSS to build survey weights, evaluate AI/ML, and model heterogeneous treatment effects. At NORC he leads projects on AI adoption, social media, higher education, and public affairs, translating complex methodology into actionable insights for policymakers and practitioners. He also teaches data science for political analytics at Columbia, bringing classroom-tested methods back into applied research. A detail that sets him apart is his track record of shipping production-ready survey weighting and likely-voter models for major pre-election polling efforts, reflecting a rare blend of academic rigor and operational delivery.
11 years of coding experience
7 years of employment as a software developer
Ph.D. Political Science, Ph.D. Political Science at Harvard University
B.S. Mathematics & Computer Science, B.S. Mathematics & Computer Science at Tufts University
Contributions:205 pushes, 2 branches in 3 years 11 months
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Soubhik Barari - Senior Research Methodologist (Data Scientist)