Wesley Wang
Research on health, population, and the life course.
I am a PhD student in Sociology at Princeton University studying health, population, and the life course through demographic and computational methods.
Research Areas
Population health, life-course processes, ageing, cumulative disadvantage, and health disparities.
Methods
Longitudinal data analysis, machine learning, agent-based models, causal inference.
Current Focus
How health and demographic outcomes unfold across the life course, especially under changing social and institutional conditions.
Profile
I work at the intersection of sociology, demography, and computational social science. My research focuses on how health disparities are generated, transmitted, and transformed across the life course, with particular attention to the ways social environments interact with biological and demographic processes.
My substantive interests include population health, ageing, cumulative disadvantage, and life-course health processes. Across these topics, I aim to connect classical sociological questions with newer computational and biosocial methods.
Current Projects
- Social pathways linking educational attainment polygenic indices to educational and early career outcomes.
- Counterfactual simulations of health trajectories under alternative life-course pathways using machine learning-based g-computation.
- Demographic and population consequences of armed conflict using agent-based modeling.
Research Approach
I am particularly interested in projects that combine strong theory with transparent empirical strategy. In practice, that means drawing on longitudinal surveys, demographic data, and computational models to study health and life-course mechanisms rather than only surface associations.