Artificial Intelligence · Behavioral and Cognitive Science · Inverse Optimization
I am Ma ZhenYao (马镇尧; pronounced Ma Jen-Yow), a researcher in machine learning, human behavior, and inverse optimization. I am curious about, and my research focuses on:
I am currently an independent researcher and a Master's student at Xiamen University. I am seeking PhD or research opportunities related to AI, human behavior, business, and society. If you are interested in my research, please feel free to contact me.
This page was last updated in February 2026. For information about my current research and CV, please feel free to contact me by email.
Inspired by behavioral science, we propose Behavior Learning (BL), a novel general-purpose ML framework that learns (hierarchical) optimization structures from data, as a promising alternative to neural network for scientific domains involving optimization.
Social preferences capture human motives beyond self-interest, such as kindness and moral concern. In this, we develop a rational-choice framework that can explain why behavior might appear selfish in some contexts while pro-social in others, even if the underlying social preferences themselves are stable.