
I‘m a postdoctoral researcher in the Department of Computer Science at the University of Chicago, working with Mina Lee. I recently completed my Ph.D. at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where I was advised by Jennifer Mankoff and Anind K. Dey. I previously interned at Apple AIML. Before moving to the U.S., I conducted research in coding theory and analytic number theory.
I conduct human-centered research, where I:
My work combines techniques from human-computer interaction, machine learning, data science, and psychology to understand how people navigate daily life, model human behaviors using multimodal data with attention to their societal impact, and design AI systems that address real-world needs. My ultimate goal is to create systems that are not only technically robust but also genuinely responsive to the diverse needs of individuals—ensuring technology serves as a meaningful and supportive part of everyday life.
Hover over or click on each card to learn more about my research.



I’m always happy to chat about my work or share my experience navigating different research fields. Feel free to reach out!