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Emma Zang, PhD

Assistant Professor of Sociology and of Biostatistics
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Contact Info

Sociology

Room 409, 493 College St

New Haven, CT 06511

United States

About

Titles

Assistant Professor of Sociology and of Biostatistics

Biography

Emma Zang is a demographer and quantitative methodologist. She is particularly interested in developing and evaluating methods to model trajectories and life transitions in order to better understand how demographic and socioeconomic inequalities shape the health and well-being of individuals from life course perspectives. Her ongoing work explores 1) Bayesian approaches to modeling group-based trajectories, incorporating Bayesian Model Averaging techniques; 2) Bayesian approaches to making multi-state life tables using high-dimensional survey data; 3) evaluations of Age-Period-Cohort (APC) models.

Dr. Zang also works on climate change and population health. Specifically, she is collaborating with YCCCH colleagues to better understand the impact of extreme temperature and air pollution on children's academic performance and health, using administrative data for all public schools in North Carolina. She and collaborators are also evaluating the effect of long-term ozone exposure on cognitive impairment among Chinese older adults. In the future, she is also interested in examining the impact of climate change on fertility, mortality, and migration patterns in the US and China.

Appointments

Other Departments & Organizations

Education & Training

PhD
Duke University, Public Policy (2019)

Research

Overview

As a demographer, my research interests lie at the intersection of health and aging, marriage and family, and inequality. My work aims to improve the understanding of 1) how early-life conditions affect later-life health outcomes; 2) the cohort patterns of fertility and mortality; 3) the impact of public policies on household members’ health outcomes; 4) social stratification and health.

I am also a quantitative methodologist. I am particularly interested in developing and evaluating methods to model trajectories and life transitions in order to better understand how demographic and socioeconomic inequalities shape the health and well-being of individuals from life course perspectives. My ongoing work explores 1) Bayesian approaches to modeling group-based trajectories, incorporating Bayesian Model Averaging techniques; 2) Bayesian approaches to making multi-state life tables using high-dimensional survey data; 3) evaluations of Age-Period-Cohort (APC) models.

My work has appeared in the American Journal of Sociology, Demography, Social Science & Medicine, Sociological Science, Social Indicators Research, and International Journal of Epidemiology.

Research at a Glance

Yale Co-Authors

Frequent collaborators of Emma Zang's published research.

Publications

2024

2023

Get In Touch

Contacts

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Mailing Address

Sociology

Room 409, 493 College St

New Haven, CT 06511

United States