Travis Riddle is a Principal Associate Data Scientist in Washington, D.C. with 11 years of experience applying quantitative, computational, and research skills to public-interest problems across government and academia. He has led high-impact programs at the Consumer Financial Protection Bureau measuring representativeness of complaint data, built reproducible data-sharing tools and an R package at NIMH, and served as the primary quantitative researcher on policing and criminal justice studies. Comfortable with methods from Bayesian inference and multilevel models to NLP and survey design, he translates complex methods into operational analytics and policy-relevant insights. Collected experience across federal agencies and research institutions gives him a rare blend of methodological rigor and practical deployment in regulated settings.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Psychology, Bachelor of Arts (B.A.) Psychology at San Francisco State University
Doctor of Philosophy (PhD) Psychology, Doctor of Philosophy (PhD) Psychology at Columbia University
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