Research Assistant
Jialin holds a BS in Business Analytics from the University of Denver and an MS in Applied Data Science from the University of Chicago. Her research focuses on applying advanced statistical and machine learning methodologies to mental and behavioral health, with an emphasis on integrating and analyzing complex, large-scale clinical and digital health data. She contributes to the development of predictive models, data infrastructures, and analytic frameworks that support multidisciplinary research across clinical and population health domains. Her technical expertise spans modern data science tools and computational workflows, enabling rigorous, scalable, and reproducible research aimed at improving mental health outcomes.