Data Scientist | Behavioral Economist | Software Developer
Brent Kaplan, PhD
I help researchers and organizations turn behavioral data into decisions — rigorous experimental design, statistical analysis in R, and software that makes both easier.
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.
What I Do
As a data scientist, I combine behavioral science, data science, research methodology, and software development to build robust data pipelines, analyze complex datasets, and develop scalable, data-driven solutions. I build 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 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.
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Recent Work
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.