Behavioral Decision Modeling
Drift diffusion and reinforcement-learning models for loss and compensatory decisions.
During my research internship at Shenzhen University, supervised by Prof. Zhenhong He, I worked on loss and compensation in decision-making.
I designed and programmed behavioral tasks in PsychoPy, developed Python data-analysis pipelines, and applied drift diffusion and reinforcement-learning models to behavioral data. This work connects experimental psychology with computational accounts of decision-making.