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S. M. Labib is an Assistant Professor at Utrecht University specializing in public health and its relation to urban planning and environmental exposures. His primary research focuses on understanding and predicting public health concerns within urban contexts, utilizing a diverse methodological approach that includes quantitative geographical information science and health impact assessment. His work significantly contributes to the fields of health geography, urban planning, and environmental epidemiology, with an emphasis on investigating spatial and societal disparities. Dr. Labib's current research tracks include exploring public health across diverse urban contexts, developing geographical methods for health modeling, and integrating data-driven methodologies like artificial intelligence, specifically deep learning and machine learning, to analyze complex environmental and social health aspects. He actively engages in open science practices, promoting FAIR data usage, and collaborates with national and international researchers to advance insights into public health and system analysis. Additionally, Dr. Labib is involved in teaching and coordinates several courses at the undergraduate and master's level. He supervises PhD students and has guided numerous MSc students throughout his academic career.
Department of Psychology