Summary
Clayton Besaw is a Data Scientist with a PhD in Behavioral Economics and over a decade of experience applying time series forecasting, rare-event prediction, and text modeling to human security, socio-economic trends, and industrial problems. He has blended academic rigor with production analytics across roles at research organizations and financial and energy firms, including contributions to forecasting projects like CoupCast and shipping-route analysis for piracy reporting. Clayton specializes in algorithm stacking, data procurement, and turning complex models into dashboards and communicable insights that inform policy and business decisions. Based in Florida, he brings a rare combination of social-science research methods and hands-on engineering that excels at forecasting low-probability, high-impact events.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Behavioral Economics/Social Science, Doctor of Philosophy - PhD Behavioral Economics/Social Science at University of Central Florida