Andrea Canessa is an Assistant Professor at the University of Genoa with 11 years of experience bridging computational neuroscience and neuroengineering. Trained in biomedical engineering and a PhD in bioengineering, she has developed neuromorphic and phase-based methods for early vision and adaptive retinal coding, then translated those skills into multimodal studies of movement disorders, notably freezing of gait in Parkinson’s disease. Her work spans EEG, hdEEG, LFPs from DBS electrodes, EMG and TMS-hdEEG, combined with RGB-D, VR and 3D scanning technologies for rehabilitation and realistic stimuli generation. She has contributed to European research projects and collaborated internationally (including Universitätsklinikum Würzburg), blending strong experimental, analytical and IT competencies. An underappreciated strength is her ability to move from low-level sensory modeling to clinical multimodal measurement pipelines, making her research both technically deep and directly relevant to patient outcomes.
10 years of coding experience
PhD BioEngineering, PhD BioEngineering at University of Genoa
Code for AMICA: Adaptive Mixture ICA with shared components
Contributions:1 issue in 1 day
adaptiveshared-componentsicamixture
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Andrea Canessa - Assistant Professor at University of Genoa