Summary
David Carlson is a Quant Analytics Manager with a PhD in Political Methodology and a decade of experience applying statistical modeling, machine learning, and survey analytics to real-world problems. He has a proven record predicting election outcomes, building anti-fraud models, and translating academic research into operational analytics across media, academia, and industry roles including CNN, Koç University, YouGov, and now KeyBank. A co-founder of a Computational Social Science master’s program and author of multiple peer-reviewed papers, he combines rigorous causal inference with practical deployment of models. Based in Pittsburgh, he brings a rare mix of academic depth and product-oriented impact—skilled at turning complex political and survey data into actionable, auditable insights.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Arts, Political Science, International Political Economy, International Relations, Bachelor of Arts, Political Science, International Political Economy, International Relations at University of Illinois at Chicago
Doctor of Philosophy - PhD, Political Science and Government, Doctor of Philosophy - PhD, Political Science and Government at Washington University in St. Louis