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Borbála (Bori) Hunyadi was born in Budapest, Hungary. She obtained her MSc degree in electrical computer engineering from Pázmány Péter Catholic University in 2009 and completed her PhD in electrical engineering at the Department of Electrical Engineering at KU Leuven in 2014. Following her doctoral studies, she worked as a postdoctoral researcher and in 2018, she was awarded the prestigious Delft Technology Fellowship for outstanding female academic researchers. After joining the Signal Processing Systems group at TU Delft as an assistant professor in October 2018, she became co-director of the Delft Tensor AI Lab (DeTAIL). In 2024, she received the NWO Vidi grant for her project "NeuroMark". Her research interests focus on biomedical signal processing, machine learning, and biomedical pattern recognition, with a specific emphasis on multichannel and multimodal signal processing, blind source separation, tensor decompositions, and wearable signal processing. Hunyadi's work aims to enhance the understanding of both healthy and pathological physiology, particularly in neuroscience applications.
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