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Lida Kanari is a Research Fellow at the Mathematical Institute of the University of Oxford, where she leads the Computational Algebraic Topology Neuroscience group. Her research is dedicated to exploring the intersection of topology, applied mathematics, and neuroscience. She combines Topological Data Analysis and Machine Learning with Computational Modeling to study properties of brain morphologies, aiming to understand pathologies and improve diagnostic tools. Her research interests include Algebraic Topology, Stochastic Processes, and Computational Neuroscience. She has notable work in topological data analysis and its applications within neuroscientific contexts. Kanari is actively involved in educational activities related to Machine Learning and has secured research grants such as the UKRI/MRC Research Grant in 2024 to further her studies in algebraic topology. She is an emerging voice in her field, participating in online seminars to advance knowledge on the connections between single neurons and networks.
Mathematical Institute, University of Oxford • Oxford, England
Leading the Computational Algebraic Topology Neuroscience group, focusing on topological data analysis and its applications in neuroscience.
Department of Politics and International Relations - Higher Level English requirement.