My research centers on two main inquiries: (1) how individual, contextual, and historical factors across the life course shape health inequalities in global contexts; and (2) how AI, particularly large language models (LLMs), can be applied and evaluated in evidence synthesis for health-related research. You can read more about my research here or here.

I collaborated with scholars from computer science, demography, epidemiology, psychology, and public policy, producing publications based on diverse datasets and advanced statistical and computational approaches.

I have a strong passion for teaching and mentoring, which was acknowledged when I was awarded my department’s 2025 Outstanding Teaching Award. I have served as the primary instructor for Social Research Methods and Basic Statistics in Social Science, courses that I view as foundational to students’ academic and professional development.