Hi, I’m a quantitative researcher and data scientist passionate about applying statistical tools to understand human behavior and drive data-informed decisions. I’m currently a Research Scientist at the Georgia Institute of Technology (GIT), where I focus on developing complex multilevel models and advancing psychological measurement to improve the reliability, validity, and fairness of large-scale behavioral assessments. Previously, I worked as a Quantitative Researcher at the American Institutes for Research (AIR), applying statistical and psychometrics methods to support the design, analysis, and evaluation of large-scale educational assessments.
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.