I am a quantitative researcher (PhD candidate in Demography, UC Berkeley) developing deep learning methods for forecasting human outcomes.

My work sits 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, and more broadly in the potential of AI and non-traditional data sources to sharpen our understanding of demographic processes.

I came to this work from sociology, with solo- and co‑authored articles on community, public policy, and immigrant outcomes in journals such as Population Research and Policy Review and Sustainability. I combine that background with technical training in statistics and machine learning to drive theory-informed innovation in demography.