Rate My Professor Jasmin Abdel Ghany

Jasmin Abdel Ghany is a Nuffield Postdoctoral Prize Research Fellow in Sociology at Nuffield College, University of Oxford, and an Associate Member of the Department of Sociology and the Leverhulme Centre for Demographic Science. She completed her DPhil in Sociology at the University of Oxford, supported by Nuffield College and the Leverhulme Centre for Demographic Sciences. She is an alumna of the Max Planck Institute for Demographic Research’s IMPRS-PHDS Research School. Her doctoral research examined the impact of in-utero exposure to extreme heat on maternal health, infant health, and population composition. Prior to her DPhil, she earned an MSc in Social Research from the University of Edinburgh, where her thesis on climate change, conflict, and migration in West Asia and North Africa received the School of Social and Political Science’s Award for the Best Dissertation in the Graduate School. She previously worked at the German Foreign Office, on data management for the German Socio-Economic Panel Study, and in international development initiatives.

Abdel Ghany’s research focuses on the intersection of demography and sociology, with particular emphasis on how environmental exposures, especially those related to climate change such as extreme temperatures, influence fertility, sex ratios at birth, reproductive health, and broader population health and socioeconomic outcomes. Her work investigates biological and behavioural responses to climatic stressors during pregnancy and explores mechanisms and subgroup vulnerabilities using survey and high-resolution environmental data. Recent publications include co-authored papers in the Proceedings of the National Academy of Sciences on temperature and sex ratios at birth, as well as contributions to Population and Development Review and the Vienna Yearbook of Population Research. She draws on her background in social research methods to study early-life environmental impacts and their role in shaping social inequalities and health across diverse population contexts.