Senior Research Specialist Pre-Doctoral Fellow at Princeton Economics
New Jersey, United States
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Summary
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Senior
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Top School
Dylan Black is a pre-doctoral fellow and senior research specialist at Princeton’s Industrial Relations Section with eight years of quantitative research and data science experience at the intersection of labor economics, economic history, and education. He has advanced training in applied econometrics and causal inference and has contributed to publications in top journals while transforming archival materials into structured datasets for statistical modeling. Dylan combines practical industry experience—building and deploying a Random Forest time-series model that halved forecasting error during a retail co-op—with academic rigor from Northeastern and LSE training. He also brings product-facing analytics and data engineering chops from roles at Fiveable and Perkins’ Innovation Center, including automated data collection pipelines and accessible interactive visualizations. Known for turning messy, large-scale data into publishable insights, he pairs methodological depth with a knack for clear communication to policymakers and product teams.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, History and Economics, Minors in Data Science, Mathematics, Computational Social Science, 3.99 / 4, Bachelor of Science - BS, History and Economics, Minors in Data Science, Mathematics, Computational Social Science, 3.99 / 4 at Northeastern University
London School of Economics and Political Science
High School Diploma, High School Diploma at Monmouth Regional High School
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Dylan Black - Senior Research Specialist Pre-Doctoral Fellow at Princeton Economics