Expert in Computational Neuroscience and Neuronal Mathematics
Associated with :
École Polytechnique Fédérale de LausanneLida Kanari is the Group Leader for the Cells and Neuromathematics group in the Simulation Neuroscience Division at EPFL, where she leads a team of eight scientists studying structural and functional properties of single cells in the brain. She holds two master's degrees from the National Technical University of Athens in Applied Mathematics and Physics and Computational Fluid Mechanics, and completed her Ph.D. in Computational Neuroscience at EPFL, focusing on neuronal morphologies. Her groundbreaking research includes developing the Topological Morphology Descriptor for classifying neuronal structures and creating an innovative inverse topological data analysis approach for generating accurate neural models. She currently investigates differences between species and mathematical links between neuron morphology and network topology. Beyond her scientific work, she maintains interests in theater, music, movies, photography, and outdoor activities like hiking and kayaking in the Greek and Swiss mountains.