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Kiki van der Heijden is an Assistant Professor at Radboud University. Her research interests focus on advancing scientific insights into how the brain processes sound, utilizing technical developments of novel machine learning techniques in audio encoding. She has a keen interest in sound, machine learning, representational learning, and the applications of artificial neural network models to better understand listeners—both human and machine. Kiki's work aims to decode information and meaning from the cacophony of sounds that surrounds us. Her research encompasses areas such as auditory neuroscience, functional magnetic resonance imaging, and spatial hearing. Kiki has also been recognized with various research grants and prizes, highlighting her contributions to the field, including a 2020 NWO Veni grant for her project on deep neural network models for naturalistic spatial hearing and a 2019 Marie-Curie Global Individual Fellowship.
Radboud University • Nijmegen, NL
Teaching and conducting research in the field of Artificial Intelligence, with a focus on auditory neuroscience and machine learning techniques.
Applies to Research Master's in Linguistics and Communication Sciences (Centre for Language Studies/Department of Language and Communication).