Summary
Brent Kaplan is a data scientist with a decade of experience applying behavioral economics and experimental psychology to real-world problems, currently at Advocates for Human Potential. He combines rigorous experimental design and advanced statistical methods—multilevel modeling and Bayesian analysis—with practical data pipelines implemented primarily in R. Brent has an extensive publication and presentation record (70+ peer-reviewed articles, 40+ invited talks), plus service as a reviewer for 30+ journals, reflecting deep academic credibility. He builds tools to democratize methods, maintaining two R packages (beezdemand, beezdiscounting) and the shinybeez R Shiny app for accessible behavioral economic analyses. His background spans academia and funded NIH projects, where he turned complex human-subject data into actionable insights that influenced policy-relevant research.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Applied Behavioral Science & Psychology (dual majors), Bachelor's degree, Applied Behavioral Science & Psychology (dual majors) at University of Kansas