Rümeysa Kahveci

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Rumeysa Kahveci received her B.A. in Sociology from Boğaziçi University, where she focused on minority groups, anthropology, and social inequality. Her interdisciplinary background laid the foundation for her interest in the intersection of social determinants and brain health. She is currently pursuing her M.Sc. in Neuroscience, conducting research in electro-neurophysiology, with an emphasis on neurodegenerative diseases and SES-dependent aging. Her work involves the analysis of quantitative EEG (qEEG) biomarkers. Rumeysa’s current research applies unsupervised machine learning approaches to identify neurophysiological subtypes within large EEG datasets, integrating electrophysiological, cognitive, and demographic variables. She has experience in EEG acquisition, preprocessing, feature engineering, statistical modelling, and Python-based pipelines. Her broader research interests include: • neurophysiological markers of neurodegeneration • social and biological determinants of cognitive aging • machine learning in clinical neuroscience • early diagnostic indicators for Alzheimer’s and related dementias Rumeysa aims to combine her sociological perspective with computational neuroscience to contribute to more precise, equitable, and biologically informed understandings of brain health.