My research interests lie at the intersection between behavioral decision making and marketing research. Generally, I study decision heuristics and biases in marketing contexts, and devise individual-specific strategies aimed to overcome these biases. Theoretically, I draw from behavioral decision theory, which describes how individuals incorporate their set of beliefs and values into their decisions. Methodologically, I utilize experimental economics techniques and Bayesian analysis to understand and predict individual level behavior. My work is divided into two streams of research: (1) to investigate decision makers’ learning behavior and related decision heuristics and biases; and (2) to apply Bayesian models of heterogeneity to understand individual-level behavior.