1. Huang, M. & Evans, J. (In Press). Institutions as cached computation for resource-rational negotiation. Behavioral and Brain Sciences.
2. Huang, M., Zhang, X., Soto, C., & Evans, J. (Under Review). Designing AI-Agents with Personalities: A Psychometric Approach. Personality Science. [Preprint]
3. Bai, Y., Duan, S., Huang, M., Yao, J., Liu, Z., Zhang, P., … & Xie, X. (Under Review). IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization. [Preprint]
4. Zhang, H., Huang, M., & Wang, J. (Under Review). Evolving Collective Cognition in Human-Agent Hybrid Societies: How Agents Form Stances and Boundaries. [Preprint]
5. Zhang, X., Huang, M., Sun, J., & Savalei, V. (2025). Improving the Measurement of the Big Five via Alternative Formats for the BFI-2. Journal of Personality Assessment.
Research Experience
1. At Stanford, developing a new theoretical framework to understand and conceptualize AI’s values and investigating AI’s cognition and representations through a social science lens
2. Collaborated at Microsoft Research Asia with Dr. Xiaoyuan Yi and Dr. Xing Xie, examining AI alignment problems
3. Explored the use of Generative Agent-Based Modelling to simulate psychological and social phenomena with Dr. James Evans at the University of Chicago
4. At UBC, explored topics ranging from psychometric modeling of personality to socioeconomic cognition and explainable AI
Education
1. PhD student in Organizational Behavior at Stanford Graduate School of Business (2025 - present)
2. M.A. in Computational Social Science from The University of Chicago, advised by Dr. James Evans (time not provided)
3. B.A. in Computer Science and Psychology (Honours) from The University of British Columbia, mentored by Dr. Victoria Savalei, Dr. Kristin Laurin, and Dr. Christina Conati (time not provided)
Background
Research interests include personality, culture, values, and cognition, particularly in the context of AI for social science. Member of the UChicago Knowledge Lab and the Stanford–Berkeley Computational Culture Lab.