I am a PhD candidate in Demography at the University of California, Berkeley, where I also earned an MA in Statistics. My dissertation research applies deep learning to demography, by both directly training on demographic data to improve demographic forecasting and by using advanced NLP techniques to gain insights about demographically relevant policy change over time.

My research career began with sociological analyses of community change, rurality, and immigrant outcomes in the US, leading to solo and co‑authored articles in journals such as Population Research and Policy Review and Sustainability. I’ve examined how gender, immigration status, and policy context shape life outcomes, and more recently, I co‑authored work on employer responses to paid‑leave policies during COVID‑19.

Currently, I am working with the Human Mortality Database to improve statistical smoothing practices and am serving as Head Graduate Student Instructor for Economic Demography (C175). I’m preparing manuscripts for PNAS and Demography, and have recently presented my work on “Next‑Generation Mortality Forecasting” at the Population Association of America Conference.