About Me

Concentration: Management Psychology and Marketing Psychology

Completed coursework in advanced research methods, multivariate statistics, psychometrics, experimental design, cross-cultural psychology, organizational behavior, and consumer psychology. Gained training in both quantitative and qualitative research methodologies through hands-on research projects and collaborations.

Major: International Economics and Trade

Developed analytical and quantitative skills through coursework in econometrics, international trade, and economic analysis. This background provides me with a unique interdisciplinary perspective for understanding human behavior in economic and organizational contexts.

Working with Dr. Kyrie Zhixuan Zhou on interdisciplinary research at the intersection of human-computer interaction, mental health technology, and AI-assisted interventions. Currently involved in projects examining user trust formation in AI systems and the psychological impacts of technology-mediated social interactions.

Contributing to experimental design, data collection, and analysis for studies on digital well-being and human-AI collaboration. Gaining valuable experience with advanced research methodologies including eye-tracking, behavioral experiments, and computational modeling of human behavior.

This project introduced me to the challenges and rewards of mental health intervention research. Working with 60+ university students over 8 weeks, I helped implement a culturally-adapted therapy program based on SAT principles. The experience was eye-opening - seeing how students gradually opened up about their struggles and developed better coping strategies.

I was involved in everything from recruiting participants to facilitating group sessions and conducting follow-up interviews. One of the most valuable lessons was learning how to adapt Western psychological frameworks for Chinese students - it's not just about translation, but understanding deeper cultural values around mental health and help-seeking.

This hands-on experience solidified my interest in making mental health support more culturally relevant and accessible. It also taught me the importance of building trust with participants and maintaining their engagement throughout longitudinal studies.

This undergraduate project was my first deep dive into human-AI interaction research. The idea came from observing how many people in China couldn't afford legal consultation - what if AI could bridge that gap? But the real question became: would people actually trust an AI with their legal problems?

I spent months researching how people form trust with technology, interviewing potential users about their concerns, and designing features that could make AI feel more trustworthy. The project taught me that technology adoption isn't just about having the best algorithm - it's about understanding human psychology and cultural context.

Though this was a theoretical project, it sparked my fascination with the psychological side of technology adoption. The questions it raised - about trust, cultural differences in technology acceptance, and ethical AI design - continue to drive my research interests today.

Research Skills Applied: Conducted systematic analysis of financial behavior patterns and trust formation in investment contexts. Applied quantitative methods to analyze market trends and consumer decision-making processes. Developed research reports synthesizing complex data into actionable insights, demonstrating ability to translate research findings for practical application.