Our Research Areas
Behavioral Economics and Decision Science
We explore delay discounting, probability discounting, and economic demand to understand how individuals make decisions under uncertainty, with implications for impulsivity, addiction, and neurodevelopmental disorders.
Neurobehavioral Assessment and Conditioning
Using eyeblink conditioning paradigms, operant behavior models, and computational approaches, we investigate Pavlovian learning, response persistence, and stimulus control—critical for understanding ADHD, ASD, and anxiety disorders.
Translational Models of Challenging Behavior
Our work integrates behavior-analytic principles with quantitative modeling to refine interventions for self-injury, stereotypic movement disorders, and relapse prevention.
Behavioral Ecology and Foraging Studies
We extend behavioral science beyond the lab, using real-world models like automated bird feeder studies to analyze decision-making, reinforcement history, and response persistence in natural environments.
Why Our Research Matters
- Improving Behavioral Interventions → Translating basic research into applied settings for clinical populations
- Advancing Neuroscientific Understanding → Identifying the mechanisms underlying learning and decision-making
- Bridging Experimental and Applied Research → Integrating quantitative models to enhance behavioral treatment strategies