About
Dr. Melis Anaturk serves as an Honorary Research Fellow in the Department of Computer Science at University College London, conducting interdisciplinary research at the intersection of computational methods, neuroscience, and clinical psychology. Her work leverages large-scale datasets including UK Biobank and Whitehall II cohorts to investigate brain aging mechanisms and dementia risk factors.
Her research focuses on dementia risk prediction, computational neuroimaging analysis, and longitudinal cognitive trajectories in aging populations. Key projects include developing brain-age prediction models, analyzing how vascular risk and lifestyle factors influence neurodegeneration, and examining long-term neurological effects of reproductive history. This work employs advanced machine learning techniques applied to multimodal MRI data and decades-long cohort studies.
Analysis of her 15 most recent publications reveals dominant trends in computational neuroscience (87% of works), with strong emphasis on machine learning applications (73%), large cohort studies (60%), and translational dementia research (53%). The work consistently bridges computer science methodology with clinical psychology applications, particularly in developing early detection tools for cognitive decline.
Dr. Anaturk maintains active collaborations across UCL's neuroscience and medical departments and contributes to major initiatives including the UK Dementia Research Institute. Her research is supported through collaborative grants accessing UK Biobank's extensive datasets and computational infrastructure at UCL's Advanced Research Computing center. While not leading a dedicated lab, she participates in interdisciplinary teams developing neuroimaging analysis pipelines and dementia risk assessment frameworks.
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