I am a PhD candidate in Demography at the University of California, Berkeley, where I also earned an MA in Statistics.
My research lies at the intersection of demographic prediction, machine learning, and artificial intelligence. I am particularly interested in understanding why deep learning-based approaches improve demographic forecasts and what we can learn from them. More broadly, I am excited about the potential of AI and non-traditional data sources to improve our understanding of demographic processes.
My research career began with sociological analyses of community, public policy, and immigrant outcomes in the US, leading to solo and co‑authored articles in journals such as Population Research and Policy Review and Sustainability. In my work, I combine my sociological background with my technical experience in statistics and machine learning to drive theory-informed innovation in demography.
Recent News
- Oct 2025: Invited talk at the Max Planck Institute for Demographic Research on my deep learning forecasting work.
- Oct 2025: Published a tutorial on social forecasting with deep learning.
- Oct 2025: Invited talk a mortality expert's meeting prior to the Human Mortality Database symposium on old-age mortality smoothing.
- Oct 2025: Presented my deep learning forecasting work at the HMD Symposium
- Aug 2025: Became a Data Science and AI Fellow at Berkeley's D-Lab
- May 2025: Presented in a machine learning for demography session at the Population Association of America Conference