Overview

My research integrates neuroeconomics, behavioral economics, and experimental methods to investigate the intersection of decision-making rationality, neural mechanisms, and emotional-cognitive processes. My current work focuses on three interconnected themes:

Decoding Behavioral Heterogeneity and Neural Mechanisms in Cross-Domain Decision Rationality. I examine how decision-making rationality varies across contexts (e.g., financial, social, and ambiguous environments) and identify behavioral heterogeneity patterns using computational modeling. By combining neuroimaging tools and behavioral experiments, I aim to decode neurocomputational signatures of domain-specific deviations from normative rationality, such as biases in risk assessment or intertemporal choices.

Integrating Neural Mechanisms of Financial Irrationality. My work investigates neural substrates of financial anomalies (e.g., overreaction, herding, and loss aversion) through controlled laboratory experiments and neuromodulation techniques. For example, I test causal relationships between neural circuits and phenomena like speculative bubbles or disposition effects, bridging insights from behavioral finance and neuroscience.

Neurocomputational Foundations of Belief-Based Emotions in Strategic Interactions. Using psychological game theory, I analyze how beliefs about others’ intentions shape emotional states (e.g., anger, guilt) and reciprocally influence economic decisions. Experimental paradigms integrate physiological tracking and iterative games to quantify how neural circuits mediate emotion-driven choices, linking theoretical models with empirical data.