A selection of research, data science, and AI work spanning demography, population studies, machine learning, and AI safety.
An interactive web dashboard that visualizes and forecasts sub-national population trends using cohort-component models. Integrates census microdata, vital statistics, and migration flows to produce 25-year projections at the county level.
A research project examining how population-level characteristics — age structure, education, digital literacy — affect the risk profiles of deploying large AI systems. Bridges demographic science with AI safety literature to produce a cross-disciplinary risk-assessment framework.
Applies large language models and classical NLP techniques to a corpus of UN reports, national demographic surveys, and policy briefs to extract trends, topic clusters, and sentiment shifts in global population policy discourse over five decades.
A philosophical and empirical investigation into how AI value alignment can incorporate insights from sociology, demography, and international relations. Argues that alignment is not purely technical but requires engagement with the diversity of human values across cultures, generations, and regions.
Developed multivariate regression and spatial models to estimate housing demand arising from internal migration patterns in large metropolitan areas. Results informed municipal housing policy and infrastructure planning recommendations.
Experiments with gradient-boosted trees, neural networks, and ensemble methods to predict demographic events (migration onset, mortality risk) at the individual level using survey microdata. Compares ML models against classical actuarial and demographic methods.
Comparative analysis of emerging AI governance frameworks across the EU, US, China, and international bodies. Examines how demographic, cultural, and geopolitical factors shape regulatory approaches to frontier AI systems.
An interactive choropleth atlas tracking population aging across 200+ countries from 1950 to 2100. Built on UN World Population Prospects data with custom aggregation pipelines and animated transitions for temporal exploration.
I'm open to research collaborations, consulting, and discussions at the intersection of demography, data science, and AI safety.