Brent Kaplan, PhD
Data Scientist | Behavioral Economist | Software Developer
I am a Data Scientist working at Advocates for Human Potential, Inc (AHP).
I received my PhD in Behavioral Psychology from the University of Kansas in 2016 and then completed a postdoctoral position at the Addiction Recovery Research Center at Virginia Tech. I was then an Assistant Professor in the Department of Family and Community Medicine at the University of Kentucky before joining AHP in 2023.
As a data scientist, I combine expertise in behavioral science, data science, research methodology, and software development to build robust data pipelines, analyze complex datasets, and develop scalable, data-driven solutions. I leverage advanced statistical techniques to extract meaningful insights, inform business decisions, and create software tools and procedures that streamline data analytic processes. I build scalable, full-stack web applications that help businesses make valuable operational decisions—handling everything from front-end and back-end to databases and APIs. Increasingly, I innovate with and integrate AI and large language models into my analytic workflows—using them to accelerate data exploration, automate documentation and reporting, and build smarter, more efficient research and software pipelines.
As a statistical research consultant, I specialize in behavioral economics and behavioral science, focusing on human behavior and decision-making. My expertise in experimental design, R, and statistics enables me to design rigorous experiments and conduct analyses using both frequentist and Bayesian methods. I also develop user-friendly R tools to streamline data analysis and visualization for researchers.
I developed shinybeez, a Shiny application for Behavioral Economic Easy Demand and Discounting. It simplifies demand curve and discounting analysis, making it more accessible for researchers and practitioners.
I presented a webinar for ABAI on Modeling Individual and Group Outcomes: An Introduction to Mixed-Effects Models, covering how mixed-effects models can help behavior analysts analyze repeated-measures and single-case data.
I co-edited Handbook of Operant Behavioral Economics with Derek Reed and Shawn Gilroy.
I consult on behavioral economics, experimental design, and statistical analysis in R. Get in touch.