Hi, I am a quantitative researcher at the American Institutes for Research (AIR), where I apply advanced statistical techniques to support the design, analysis, and evaluation of large-scale educational assessments. My work focuses on the validity, reliability, and fairness of psychological and behavioral measurement through applied statistical modeling and psychometric analysis.
I earned my Ph.D. in Quantitative Methods and Computational Psychology from the University of Southern California (USC), where I was co-advised by Dr. Hok Chio(Mark) Lai and Dr. Rand Wilcox. My training emphasized robust statistical methods, measurement theory, and computational approaches to behavioral science.
I first discovered my passion for computational social science as an undergraduate at Dickinson College, where I double majored in Mathematics and Psychology. Since then, I’ve become increasingly interested in using statistical modeling and machine learning to understand human behavior and drive informed decision-making in both research and applied contexts.
I’m passionate about bridging the gap between rigorous research and real-world impact through academic collaborations, user experience research, or data science applications. Check out the Research page for specific projects and Publication page for my publications. CV can be found here.