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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.

What I Do

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 have recently expanded my technical skill set to include SQL and JavaScript (Node.js, Vue.js) for building web applications targeted at improving health and well-being.

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.


🔗 Learn More

📖 Recent Work

🖥 Software:

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.

You can listen about it here:

Download

📘 Book:

I co-edited Handbook of Operant Behavioral Economics with Derek Reed and Shawn Gilroy.

Check out my chapter: Quantitative Models of Demand.

🎙 Podcast Appearances:

🎧 Matching Law in Real-Life Interventions

🎧 Behavioral Economics for Real-World Interventions