Summary
Cory Baird is a Python-first data scientist and econometrician with eight years of interdisciplinary experience blending macro-finance research, computational linguistics, and policy analysis. He holds a PhD in Public Policy from the University of Maryland and an MPP from the University of Tokyo, and builds reproducible econometric and machine-learning workflows to study how political and economic language drives market outcomes. As a visiting lecturer/researcher at the University of Tokyo and former senior analyst at GeoQuant, he teaches and deploys transformer-based NLP models and forecasting algorithms applied to FX, equities, and sovereign bond markets. Fluent in Japanese and experienced across journalism, government, and academia, he translates institutional narratives into quantifiable signals for policy and investment decisions. Notably, his work combines traditional econometrics with non-structured data pipelines—turning central bank communications and media discourse into actionable market forecasts.
8 years of coding experience
5 years of employment as a software developer
University of Tokyo
Doctor of Philosophy - PhD, Public Policy, Doctor of Philosophy - PhD, Public Policy at University of Maryland
Political Science, Political Science, Japanese, Political Science, Political Science, Japanese at University of St. Thomas
English, japenese, Chinese