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Flavia Mancini is an Assistant Professor in the Department of Engineering at the University of Cambridge. She is also a research fellow at Pembroke College and leads the Nox Lab, focusing on innovative computational methods. Her research interests center around computational biological learning, where she investigates neural computational processes related to body homeostasis and decision-making. Flavia trained in neuroscience at the University of Milan Bicocca and University College London. At Cambridge, she develops and employs a range of computational techniques along with neural imaging methods (including fMRI, fNIRS, and EEG) to advance the fields of computational neuroscience and neurotechnology. Her work aligns with significant themes in bioengineering, digital health, and precision medicine, particularly in relation to pain and mental health. Flavia is also dedicated to teaching, offering courses on computing and project-based learning in brain-computer interface technology. She actively seeks opportunities for PhD and postdoctoral candidates in her research group.
University of Cambridge • Cambridge, ENG
Leading research in Computational Biological Learning and managing responsibilities within the Bioengineering Steering Committee.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.