Derya Soydaner is an Assistant Professor in the Leiden Institute of Advanced Computer Science at Leiden University. With a background in Statistics and expertise in Machine Learning, combined with experience in experimental psychology, she is a multidisciplinary scientist working at the intersection of human perception and neural networks. Her research also extends to art, aesthetics, and AI.

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Derya Soydaner is an Assistant Professor in the Leiden Institute of Advanced Computer Science at Leiden University. With a background in Statistics and expertise in Machine Learning, combined with experience in experimental psychology, she is a multidisciplinary scientist working at the intersection of human perception and neural networks. Her research also extends to art, aesthetics, and AI.

She focuses on the development and understanding of deep neural networks, particularly in image processing, generative AI, and explainable AI. Her work is highly interdisciplinary, bridging fields such as computer science, physics, psychology, and art history.

From 2021 to 2024, she was a postdoctoral researcher in the Department of Brain & Cognition at KU Leuven, working with Prof. Johan Wagemans in the Experimental Psychology Lab. In addition to her primary research, she has also worked in the field of nuclear physics as a side project.