Anneliese Luck is a PhD Candidate in Demography at the University of Pennsylvania and affiliated student at the Max Planck Research School for Population, Health, and Data Science in Rostock, Germany. She holds a Master in Public Policy with a Graduate Certificate in Applied Data Science from the University of California, Berkeley and a BA in International Relations and Economic Development from Tufts University. Her research lies at the intersection of population health, mortality, and public policy, focused on how social and policy contexts shape the lives and deaths of individuals across the United States. She is particularly interested in leveraging demographic and statistical methods to explore how the relationships between place, health, and mortality vary across multiple intersectional axes of social stratification, such as race, ethnicity, sex, and age.
Some of her previous work includes an analysis of the link between local carceral contexts and age-, race-, and sex-specific mortality across U.S. counties, as well as a project in which she applied demographic life table methods to better understand how state-driven family intervention through the carceral and welfare systems collectively operate in the lives of children across the United States. She has also contributed to a variety of projects investigating spatial, racial, age, and cause of death variation in mortality during the COVID-19 pandemic, as well as a project exploring the role of state eviction bans in mitigating the pandemic's mental health costs. Most recently, she is developing a paper in which she explores the political geography of avoidable death in the United States, examining variation in the relationship between politics, policies, and amenable and preventable mortality among Black and White men and women.