Hi, I'm Paige Park, a PhD candidate in Demography at the University of California, Berkeley, where I also earned an MA in Statistics. My work combines demographic theory with deep learning to improve how we model and understand population health and change — with a focus on mortality forecasting, inequality, and the application of computational methods to social science.

I began my research journey in a sociology lab, driven by a deep interest in community, gender, and migration. Since then, I’ve contributed to projects spanning health policy, environmental attitudes, and occupational stratification in both U.S. and international contexts.

Currently, my work develops innovative models for forecasting mortality, including work under review at Demography and a manuscript in preparation for PNAS. I also work with the Human Mortality Database and lead data science efforts in collaborative prediction challenges.

I’m passionate about making population science more predictive, interdisciplinary, and policy-relevant — and I'm especially interested in roles that bridge research and impact.