SoS 277: Catalina Fernández discusses a new causal model of human growth using temporally sparse data episode artwork

EPISODE · Apr 27, 2026 · 35 MIN

SoS 277: Catalina Fernández discusses a new causal model of human growth using temporally sparse data

from Sausage of Science · host Human Biology Association

In this episode, Dr. Catalina Fernández explains a new theoretical model of human growth and its opportunities for cross-sectional and diverse samples. Dr. Catalina Fernández is an Assistant Professor in the Department of Anthropology at Florida Atlantic University (United States). Her research focuses on the role of food and diet in human adaptation and evolution among contemporary populations. Drawing on evolutionary and biocultural frameworks and employing mixed methods, her work investigates how subsistence strategies, nutritional histories, and the environment shape genetic, physiological, and cultural adaptations. She is particularly interested in questions related to the consequences of global market integration for human health and well-being among rural and small-scale societies. She has experience working with rural and Indigenous communities in Latin America, addressing issues related to environmental and dietary adaptations, nutrition transition, chronic disease risk, and population genetics. Her most recent research project investigates the causes of variation in child growth trajectories among non-Western populations, aiming to better inform public health interventions using culturally and environmentally appropriate strategies. Building on this work, she is developing a research program that examines the life-course health outcomes related to water and food security resulting from the climate change–driven expansion of the mining industry among indigenous communities in Chile. Contact Dr. Fernández at [email protected] ------------------------------ Find the paper discussed in this episode: John A. Bunce, Catalina I. Fernández, Caissa Revilla-Minaya; A causal model of human growth and its estimation using temporally sparse data. R Soc Open Sci. 1 August 2025; 12 (8): 250084. https://doi.org/10.1098/rsos.250084 ------------------------------ Contact the Sausage of Science Podcast and the Human Biology Association: Facebook: facebook.com/groups/humanbiologyassociation/, Website: humbio.org Chris Lynn, Co-Host, Website: cdlynn.people.ua.edu/, E-mail: [email protected], X:@Chris_Ly Mecca E. Howe, Co-Host, E-mail: [email protected], LinkedIn: https://www.linkedin.com/in/mecca-howe/

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SoS 277: Catalina Fernández discusses a new causal model of human growth using temporally sparse data

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