I’m a PhD candidate in Cognitive Science at Columbia University.

My research focuses on AI for Education and Human Skill Development. Drawing on cognitive science, learning sciences, and pedagogical theory, I seek to understand how AI is reshaping human learning and to advance AI as a meaningful cognitive partner that fosters human growth.

Specifically, my work follows two interconnected strands:

• Understanding human cognition and behavior in the age of AI. I study emerging patterns of human–AI interaction in real-world educational and knowledge-work settings, examining how AI reshapes learning behaviors, cognitive engagement, social interaction, and teaching practices, and what new opportunities and challenges these changes create.
• Evaluating and advancing AI for learning and skill development. My recent work focuses on evaluating and improving AI’s pedagogical capabilities and simulating human cognition and behavior, with the goal of building more effective and adaptive AI support across diverse learning contexts.

Beyond these two strands, I am also interested in applying cognitive science to understand and improve AI reasoning and human–AI collaboration.

I am fortunate to be advised by Dr. Renzhe Yu and Dr. James Corter. Previously, I received my master’s degree in STEM Education from the School of Physics and Astronomy, Beijing Normal University, where I worked with Dr. Ping Zhang on developing assessment instruments for complex concept learning and scientific reasoning. I also worked as a PhD research intern at the Educational Testing Service (ETS) Research Institute, where I collaborated with Jamie Mikeska and Beata Beigman Klebanov on AI-based learner simulation for teacher training.